Abstract is missing.
- Representation and Identification of Human Faces using Partitioned Iterated Function SystemsAbbas Z. Kouzani, Fangpo He, Karl Sammut.
- An Improvement of a Computational Model for the Detection of Really Moving ObjectsKen-ichiro Miura, Takashi Nagano. 2-5
- Recognition of Spatiotemporal Patterns by Nonmonotone Neural NetworksMasahiko Morita, Satoshi Murakami. 6-10
- Perception of Visual Flow Composed of Texture of Different Attributes and its Neural RepresentationHirohisa Saito, Eiki Hida, Hiroshi Ohno, Keiichi Odajima, Daichi Tamanoi. 10-13
- Figure-Ground Separation from Motion with Ginzburg-Landau EquationEizo Ueyama, Hideo Yuasa, Shigeyuki Hosoe, Masami Ito. 14-17
- A Neural Network Model for Detecting the Motion of an Object Whose Vertexes are MaskedH. Matsuda, Masayuki Kikuchi, Kunihiko Fukushima. 18-21
- An Abstraction of Functional Boundary Lines through Spatio-Time Pattern of Neural ActivitiesShuji Akiyama, Toshio Iijima, G. Matumoto. 22-25
- An Asynchronous Pulse Neural Network Model with Finite Pulse Width for VLSI ImplementationM. Hanagata, Y. Horio. 26-29
- Neuronal and Hemodynamic Responses from Functional MRI Time-Series: A Computational ModelJagath C. Rajapakse, Frithjof Kruggel. 30-33
- Modeling the Role of Cerebellum in a Sensorimotor AdaptationMichael A. Arbib, Jacob Spoelstra. 34-37
- Biological Model of Hippocampal Synaptic Modification under Time-Structured StimuliMasami Tatsuno, Yoji Aizawa. 38-41
- Active Vision: Neural Network ModelsK. Fukushima. 43-46
- Binocular Rivalry and Conscious Visual AwarenessRandolph Blake. 47-50
- Interocular Suppression: Large Perceptual Loss, Small Sensitivity LossV. A. Nguyen, A. W. Freeman, P. M. Wenderoth, R. C. Heard. 51-54
- Depth-Estimation and the Construction of the Cyclopean ViewR. D. Henkel. 55-58
- Sharpness Overconstancy: the Roles of Visibility and Current ContextSue J. Galvin, Abigail M. Squire, Diane S. Hailstone, Robert P. O'Shea. 59-62
- Possible Neural Correlates of Symmetry PerceptionR. van der Zwan. 63-66
- Effects of Orientation and Spatial Frequency on Monocular and Binocular RivalryRobert P. O'Shea. 67-70
- Distance as a Location Parameter in a Model of Hippocampal Place FieldsM. B. Mundy, Anthony V. Robins, D. Bilkey. 71-75
- Visual Attention and Gaze Control for an Active Vision SystemBärbel Mertsching, Maik Bollmann. 76-79
- Improved Optimization of a Modified Hopfield Neural Network for Early VisionMd. Shoaib Bhuiyan, Yuji Iwahori, Akira Iwata. 80-84
- An Efficient Stereo Matching Algorithm Using Local Line Intensity Pattern-Based Cost FunctionD. Han, S. Hong, K. Park, H. Choi. 85-88
- A Perception Model of Ambiguous Figures Based on the Neural ChaosH. Nishimura, N. Nagao, N. Matsui. 89-92
- A Cortical Mechanism Underlying the Perception of Bar Orientation in Tilt Illusions Based on Figure Segmentation and Population CodingKo Sakai, S. Tanaka. 93-96
- An Evidence of Supporting the Time Measurement Hypothesis for the Motion DetectionT. Mori, M. Mizuno. 97-98
- A Model for McGurk Effect Based on Feature Maps and Reciprocal ConnectionsRyoko Futami, H. Tanno, Shin'ichiro Kanoh, Nozomu Hoshimiya. 99-103
- Orientation Map Using Cluster Learning RuleJousuke Kuroiwa, Sakari Inawashiro, Shogo Miyake, Hirotomo Aso. 103-107
- The Selective Integration Neural Network Model of Lightness PerceptionLuiz Pessoa, William D. Ross. 108-111
- Recognition of Rotated Patterns Using NeocognitronShunji Satoh, Jousuke Kuroiwa, Hirotomo Aso, Shogo Miyake. 112-116
- Requirements for Neural Assembly Formation, Ignition and Maintenance: Formalisation of Traditional ConceptsJeffery R. Wickens, R. Miller. 117-120
- Requirements for Neural Assembly Formation, Ignition and Maintenance: Possible Role of Laminar InteractionsR. Miller, Jeffery R. Wickens. 121-123
- Development of Artificial Retina Using Cultured Neural Cells and Photoelectric Device: A Study on Electric Current with Membrane ModelN. Ito, A. Shirahata, T. Yagi, T. Matsushima, K. Kawase, M. Watanabe, Y. Uchikawa. 124-127
- Communication with ALS Patients through EEG Attention SwitchingT. Musha, H. A. Haque, K. Kawamorita. 128-131
- A Model of the Interactions between the Globus Pallidus and Subthalamic NucleusA. Gillies, David J. Willshaw. 132-135
- A Model of Target Selectivity and Hypersensitivity in the Electrosensory System of Sharks Using Rapidly Varying Effective Synaptic StrengthsM. Paulin, Y. Yarom, H. Meiri, D. Cohen. 137-140
- Neural Mechanism for Elimination of Negative Effect Arising from Fish's Own Motion on ElectrolocationYoshiki Kashimori, Takeshi Kambara. 141-144
- Effect of Lateral Inhibition and Cortical Feedback in the Model of Olfactory BulbT. Yamafuji. 145-148
- Self-Supervised Learning of Autonomous Robot by Integrating Information from Several SensorsK. Yamauchi, S. Sugiura, N. Ishii. 149-152
- A Spatio-Temporal Computer Model of Dynamic Organization Properties of the Adult Primate Somatosensory SystemDorel M. Sala, Krzysztof J. Cios, J. Wall. 153-156
- Retrieval of Patterns and Symbols Using Pattern-Symbol Network with Nonlinear DynamicsY. Hattori, T. Furuhash. 158-161
- Multi-Agent Implementation of Fractal Analysis by Fuzzy Neural NetworksR. Kozma, J. A. Swope, Nikola K. Kasabov, M. J. A. Williams. 162-165
- A Principled Approach to a Theory of Self-organization in Cortical Maps Based on EM-LearningPietro Morasso, Vittorio Sanguineti, Francesco Frisone. 166-169
- Chaotic Evolutionary Processing for Intelligent AgentsToru Yamaguchi, Naoki Kohata, Yoshiyuki Wakamatsu, Takanobu Baba. 170-173
- Measuring Determinism in Time Series by Chaotic ApproachYasunari Fujimoto, Tadashi Iokibe. 174-177
- Resonance in a Global Coupling Chaotic Neural Network Driven by a Weak SinusoidShin Mizutani, T. Sano, Katsunori Shimohara. 178-181
- Solving Quadratic Assignment Problems by Chaotic NeurodynamicsM. Hasegawa, T. lkeguchi, K. Aihara. 182-185
- Time and Rate of Success in Chaotic Search of Cyclic MemoriesT. Deguchi, N Ishii. 186-189
- Associative Chaotic Neural Networks with Asynchronous Updating: Winner Updates FasterMasaharu Adachi, Kazuyuki Aihara. 190-193
- One-Dimensional Chaotic Neural Network with its Application to Information Processing and Secure CommunicationY. Zhang, Z. He. 194-197
- Multistable Behaviour in Networks of Integrate-and-Fire NeuronsH. Meffin, W. G. Gibson. 198-201
- Mesoscopic Analysis and Synthesis of Membrane Potential Dynamics Using Two-Dimensional Hodgkin-Huxley EquationsA. Hirose, S. Murakami. 202-205
- A Bidirectional Method for Recognising and Attaining Optimal Noisy FitsM. K. Weir. 207-210
- Training Multi-Layer Perceptrons by Natural Gradient DescentH. H. Yang, S. Amari. 211-214
- A Randomized Algorithm for Deciding the Functional Equivalence of Neural NetworksA. J. Blumberg. 215-216
- Two Learning Algorithms for Robust Classifications with Small and Incomplete Training DataS. Y. Yoon, S. Y. Lee. 217-220
- Neural Networks for Dimensionality ReductionNikhil R. Pal, Eluri Vijaya Kumar. 221-224
- Stability Analysis of High-Order Analog Hopfield Neural NetworksJ. Su, Z. He. 225-228
- A New Algorithm for Vector Quantization Based on the Diversity of Learning Areas of Representative VectorsShinichi Yoshizawa, Shinji Doki, Shigeru Okuma. 229-232
- Dynamics of Autoassociative Neural NetworksSatoshi Morinaga, Shuji Yoshizawa. 233-236
- Adaptive Determination of the Amount of Forgetting in the Learning Algorithm with ForgettingE. Watanabe. 237-240
- A Neural Network Model for Acquiring an Internal Representation of the Weight of Grasped ObjectsY. Uno, S. Iwata, S. Hanba, R. Suzuki. 241-244
- On the Model Selection for Linear Combination of Step-Type Basis FunctionsTaichi Hayasaka, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui. 245-248
- Improving RBF Networks by a Two-Step Feature Selection ApproachMatthias Scherf, Wilfried Brauer. 249-252
- Adaptive Training of Radial Basis Function Networks Based on Cooperative Evolution and Evolutionary ProgrammingAlexander P. Topchy, Oleg A. Lebedko, Victor V. Miagkikh, Nikola K. Kasabov. 253-258
- Biologically Plausible and Efficient LearningH. Takahashi, T. Uchiyama. 259-262
- A Possible Link between Artificial and Biological Neural Network Learning RulesHuaiyu Zhu 0001. 263-266
- Prior Probability Weights, Neural Network LearningY. Matsuyama, S. Furukawa, T. Ikeda. 267-270
- Removing the Redundancy of Perceptrons in Terms of a Simple Energy FunctionT. Takahashi, R. Tokunaga. 271-274
- Lateral Information-Propagation Neural Networks for Inter-Node InterpolationHyongsuk Kim, Jong Man Kim, S. Kim, C. Lin. 275-278
- A Design Method of an MLP Minimizing the Quantization Effect of the Weights and the Neuron OutputsO. Kwon, S. Bang. 279-282
- Multi-Level Information ControllerR. Kamimura. 283-286
- Information Criterion for Acquisition of Optimal Internal Representation in Neural NetworksT. Onoda, Y. Shinohara. 287-290
- Optimization of a Network with Gaussian Kernel Functions Based on Genetic AlgorithmR. M. Kil, Y. Song. 291-295
- A Method for Reducing the Forgetfulness of incremental LearningK. Shinozawa, K. Shimohara. 296-299
- Parallel Interpolation by Using Hybrid Neural NetworkI. Nagayama. 300-305
- Visualizing the Function Computed by a Feedforward Neural NetworkTony Plate, Pierre Band, Joel Bert, John Grace. 306-309
- Extending CasPer: A Regression SurveyNick K. Treadgold, Tamás D. Gedeon. 310-313
- Learning and Generalisation in a Stable NetworkAnthony V. Robins, Marcus R. Frean. 314-317
- Annealed On-Line Learning in a Nonlinear Neural NetS. Bos, S. Amari. 318-321
- A Random Search Technique for Training Neural NetworksAntanas Verikas, Adas Gelzinis, Kerstin Malmqvist. 322-325
- Approximation of Hybrid Systems by Neural NetworksAndrew D. Back, Tianping Chen. 326-329
- Constrained Topological Maps for Regression and ClassificationVladimir Cherkassky, Y. Kim, Filip Mulier. 330-333
- A Statistical Approach to Determine the Neighborhood Function and Learning Rate in Self-Organizing MapsEmin Germen, Semih Bilgen. 334-337
- An Adaptive Self-Organizing Algorithm with Virtual ConnectionS. Kawahara, T. Saito. 338-341
- Improvements in the Analysis of Structured Data with the Multilevel Hypermap ArchitectureB. Brückner. 342-345
- Classification of Program Behavior Based on Self-Organizing MapsW. Chou. 346-350
- Adaptive β Scheduling Learning Method of Finite State Automata by Recurrent Neural NetworksK. Arai, R. Nakano. 351-354
- On the Finite State Machine Associated to an Adaptable Boolean Neural NetFrancesco E. Lauria, R. Prevete, M. Milo, S. Visco. 355-358
- Temporal Information and Network OrganizationY. Shigematsu. 359-362
- Learning and Bifurcation Diagram of Recurrent Neural NetworksShozo Sato, Kazutoshi Gohara. 363-366
- Phase Transitions of an Oscillator Neural Network with a Standard Hebb Learning RuleT. Aonishi. 367-370
- Generalization Ability of Universal Learning Network by Optimizing Network Size and Time DelayMin Han, Masanao Ohbayashi, Kotaro Hirasawa, Junichi Murata, Jinglu Hu. 371-374
- Comparison of Some Learning Algorithms for Identification of Fuzzy ModelsG. Vachkov, K. Hirota. 376-379
- Function Approximation with Partitioned Ellipsoidal RegionsRuck Thawonmas, Shigeo Abe. 380-383
- Modelling Multi criteria Decision Making Process with Fuzzy Extent AnalysisH. Deng, C. Yeh. 384-387
- Tuning Fuzzy Rules Based on Fuzzy Clustering and Neuro-Fuzzy MethodsY. Shi, M. Mizumoto, P. Shi. 388-391
- How to Create the Simplest FAM-Based Fuzzy SystemJ. van den Berg, J. van Dijk. 392-395
- Using Evolution to Develop Look Up Tables for Congruent Data SetsTim Hendtlass. 397-400
- Genetic Programming with Controlled CrossoverRomuald Jagielski. 401-403
- A Hierarchical Algorithm for Classification and its Tuning by Genetic AlgorithmsN. R. Pal, S. Chakraborty. 404-407
- A Study on Nonlinear Model Identification Using Pseudo-Bacterial Genetic AlgorithmNorberto Eiji Nawa, Takeshi Furuhashi. 408-411
- An Evolutionary Approach to the Specification of High Performing Backpropagation Neural NetworksTim Whitfort, Belinda Choi, Chris Matthews, John McCullagh. 412-415
- Solving Constrained Optimization Problems with New Penalty Function Approach Using Genetic AlgorithmsX. H. Yu, W. X. Zheng, B. L. Wu, X. Yao. 416-419
- An Evolution Algorithm for Solving the Knight's Tour ProblemM. H. Lim, G. S. Khoo, S. Krishnan, C. Y. Pang, S. C. Lee. 420-423
- Coevolutionary Genetic Algorithm with Effective Exploration and Exploitation of Useful SchemataHisashi Handa, Norio Baba, Osamu Katai, Tetsuo Sawaragi. 424-427
- Population-Based Automatic Programming - Part l : Description of the AlgorithmJohann A. Schoonees, E. Jakoet. 428-431
- Population-Based Automatic Programming - Part 2: Performance on Some Example ProblemsJohann A. Schoonees, E. Jakoet. 432-435
- A Genetic Algorithm Approach to Optimization Problems in an Uncertain EnvironmentH. Tamaki, T. Arai. 436-439
- Analysis of Evolutionary Fuzzy Controller for a Mobile RobotS. B. Cho, S. L. Lee. 440-443
- A Society Model for Co-operative Co-evolutionary AlgorithmsQ. Zhao. 444-447
- Evolutionary Approach to the Development of Social Structures by Individual Interaction in a Constrained EnvironmentG. Haza-Vandenpeereboom, L. N. Gray, S. J. Gill. 448-451
- Evolution of Random Synaptic Weights of the Hopfield Associative Memory: How Chaotic Trajectories Turn into Fixed Point Attractors?A. Imada, K. Araki. 452-455
- Evolving a Program Defined by a Formal GrammarPeter A. Whigham. 456-459
- A Genetic Algorithm Framework for Traffic Scheduling in A TM NetworksM. H. Lim, T.-H. Cheng, A. Balaram, S. Krishnan. 460-463
- A Grouping Genetic Algorithm for Line Balancing with Resource Dependent Task TimesEmanuel Falkenauer. 464-468
- A Memetic Algorithm for the Maintenance Scheduling ProblemEdmund K. Burke, Alistair J. Smith. 469-472
- Emerging Market Analysis: Using A Genetic Algorithm-Based Approach to Investigate the Effects of lnterest Rate Changes on Market TimingGuang-Seng Khoo, H. C. Tan, M. H. Lim, Wai Cheong Yeong. 473-476
- A Constraint-Directed Genetic Algorithm for University Timetable PlanningSafaai Deris, Sigeru Omatu, Hiroshi Ohta, Puteh Saad. 477-480
- The Supremum and the Infimum of the Encouragement Factor in the Gaussian MachineT. Nitta. 482-485
- Active Mesh for Minimal Surface ProblemsCheng-Yuan Liou, Quan-Ming Chang. 486-489
- Learning Feature Weights for Similarity MeasuresYong Wang, Naohiro Ishii. 490-493
- A New Gradient Descent Based Self-Generating Fuzzy Algorithm Using the Partition of Fuzzy Input SpaceK. Kim, O. Kwon. 494-497
- Incremental Learning for Pattern ClassificationH. Nakayama, M. Yoshida, S. Yanagiuchi. 498-501
- Evolving Soccer StrategiesRafal Salustowicz, Marco Wiering, Jürgen Schmidhuber. 502-505
- Use of the Genetic Algorithm for Solving the Wavelength Assignment ProblemLunchakorn Wuttisittikulkij, Mike J. O'Mahony. 506-509
- Lotto-Type Competitive LearningA. Luk, S. Lien. 510-513
- Workload Characterisation Based on AI TechniquesK. I. Shihab. 514-517
- Another Fuzzy Clustering AlgorithmV. Cherkassky, Y. Lee. 518-521
- Structure of Models Based on ClassificationM. Sata, Y. Sato. 522-525
- Connectionist Analogical Inference in Relational Isomorphism ParadigmS. Yasui. 526-530
- Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient DescentMonica Bianchini, Stefano Fanelli, Marco Gori, Marco Protasi. 531-534
- The ck-Nearest Neighbor Distance Network: A Network Using Class Boundary Feature DistancesD. K. Y. Chiu, F. E. Kavanaugh. 535-538
- Asymmetric Proximity Functions and their ApplicationsY. Sato, M. Sato. 539-542
- A Revised Method for Generating Fuzzy Subsets from Tolerance RelationsTetsuya Murai, Akihiro Kitada, Yoshiharu Sato. 543-546
- An Intelligent Network Routing Algorithm by a Genetic AlgorithmMasaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato. 547-550
- Rasterizing Algebraic Curves and Surfaces in the Space with Exact DistancesM. Mizuta. 551-554
- Fuzzy Fusion for Surface Landmines DetectionArthur Filippidis, Lakhmi C. Jain, Noel M. Martin. 555-558
- Learning of a Multiple Threshold Perceptron Based on Stochastic ApproximationK. Kubo, R. Takiyama. 558-591
- New Algorithm for Principal Components and Minor Components ExtractionT. Chen, Q. Lin. 560-563
- Semantics of Dichotomous Probabilistic DatabasesA. Ramer, H. Yu. 564-567
- Bayes Rule and Expected Utility Rule: An Unified Axiomatic ApproachCarlo Bertoluzza, Mario Di Bacco. 568-571
- Using Bayesian Networks for Abduction in ArgumentationIngrid Zukerman, Richard McConachy, Kevin B. Korb. 572-575
- Modelling Neural Networks with Sequential Hypotheses TestsUlrich Anders, Olaf Korn. 576-579
- Modelling ARMA Time Series: the Effect of NoiseH. Brian Hwarng. 580-583
- Bayesian Network that Learns Conditional Probabilities by Neural NetworksYoichi Motomura, Isao Hara, Hideki Asoh, Toshihiro Matsui. 584-557
- Neural Network Approach for Eigendecomposition of a MatrixY. Tan, C. Deng, Z. He. 592-595
- Constrained Locally Weighted Regression for Process ModellingS. Matsushima, A. Hoffmann. 596-599
- A Best-First Search Method for Anytime Evaluation of Belief NetworksNathalie Jitnah, Ann E. Nicholson. 600-603
- The Trade-Off between Solution Quality and Computing Times of lntelligent Algorithms - A Computational Study on the Role of Parameters and Time BudgetsKarl Kurbel. 604-607
- Linear Regression Based Combination of Neural ClassifiersX. Lin, Y. Wu, X. Ding. 608-611
- Unsupervised Learning of Data Principal EigenstructureMehdi N. Shirazi, Ferdinand Peper, Hidefumi Sawai. 612-615
- Extended Simulated Annealing Algorithm Based on Grand Canonical EnsembleC. H. Song, W. D. Lee. 616-619
- A Feedback PCA Network with Powered Correlation MemoryD. Deng. 620-623
- Feedforward Sequential Learning For Complex 1/0 MappingsM. K. Weir, L.-H. Chen. 624-627
- How Well Does A Neural Network Model ARMA Models?H. B. Hwarng, Q. Lu. 628-631
- Non-Holonomic Constraints in Learning Blind Source SeparationShun-ichi Amari, Ta Chen, Andrzej Cichocki. 633-636
- Blind Source Separation and Deconvolution of Fast Sampled SignalsA. D. Back, Andrzej Cichocki. 637-640
- Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic ApproachSeungjin Choi, Andrzej Cichocki, Shun-ichi Amari. 641-644
- Natural Gradient Learning Algorithms for DecorrelationSeungjin Choi, Shun-ichi Amari, Andrzej Cichocki. 645-648
- On-line Adaptive Algorithms for Blind Equalization of Multi-Channel SystemsAndrzej Cichocki, Jianting Cao, L. Sabala. 649-652
- Biologically Inspired Pitch Detection SystemSeow Chuan Lim, Arthur Robert Temple, Simon R. Jones, Ray Meddis. 654-657
- Implementing Artificial Neural Networks in Analogue VLSIRobin Woodburn, Alan F. Murray. 658-661
- Practical Design Methodology for Commercial Automatic Coin Recognizers Based on Neural Decision EnginesJuan Manuel Moreno, Jordi Madrenas, Joan Cabestany, J. R. Laúna. 662-665
- Self-Organising Neural Networks: Their Application to "Real-World" ProblemsA. W. G. Duller. 666-669
- Towards Actual Neural Coprocessors for Heterogeneous Embedded SystemsA. König. 670
- Evolvable Hardware - A Short IntroductionJ. Torresen. 674-677
- Genetic Algorithm Optimisation of FPLD Circuit Synthesis from High-Level Modular DescriptionsR. Bruce Maunder, George G. Coghill, Zoran A. Salcic. 678-681
- Aspects of Genetic Algorithms in Evolvable Hardware ImplementationMircea Gh. Negoita, Adrian Horia Dediu, Dan Mihaila. 682-685
- A High-Performance Hardware Implementation of a Survival-Based Genetic AlgorithmBarry Shackleford, Etsuko Okushi, Mitsuhiro Yasuda, Hisao Koizumi, Katsuhiko Seo, Takashi Iwamoto, Hiroto Yasuura. 686-691
- New Neural Network Architectures Based on Fractional Fourier Transforms for Large-Scale Optical ImplementationsS. Y. Lee, S. I. Jin, Y. S. Bae, S. G. Shin, C. H. Park, S. Y. Shin. 692-695
- A 1.2 GFLIPS Fuzzy Logic Inference Processor: Breaking the Billion Rules Per Second BarrierMichael J. Lees, Duncan A. Campbell. 696-699
- A Fully Parallel Fuzzy Inference Processor with True Centre-of-Gravity DefuzzificationMichael J. Lees, Duncan A. Campbell. 700-703
- Reduction of the Test Time for Mass Produced LSI Devices by Genetic AlgorithmsT. Iwamoto, S. Kobashi, Narumi Sakashita, J. Mitsuishi, Ken-ichi Tanaka, Kazuo Kyuma. 704-707
- CMOS Analog Integrated Circuit for Competitive Neural ArrayFelipe Gomez-Castañeda, Luis Martín Flores-Nava, Jose Antonio Moreno-Cadenas. 708-711
- PANNS - A Parallelized Artificial Neural Network SimulatorErich Schikuta, Thomas Fuerte. 712-716
- Real-Time On-Line Fuzzy Logic Simulation SystemA. Watson. 717-720
- An Architecture for Distributed Connectionist ComputationRoy Ward, Martin K. Purvis, Rumen Raykov, F. Zhang, M. Watts. 721-724
- Moving from Conceptual Graphs to Object-Oriented DevelopmentElisabeth G. Todd, Elizabeth Angela Kemp, Anna Jeffries, David I. Gray. 725-728
- Building the Interface: A Comparison of Three Approaches to Early Interface DevelopmentElizabeth A. Kemp. 729-732
- Optical Neural Network for Pattern AnalysisA. V. Pavlov. 733-736
- Construction of Algebra of Fuzzy Numbers by Optical HolographyA. V. Pavlov. 737-740
- Optical Implementation of Artificial Neural Nets (ANNs)F. T. S. Yu. 741-744
- Optical Design of Associative Memory Using a Bistable Spatial Light ModulatorH. Toyoda, Y. Suzuki, M. Ishikawa. 745-748
- Technique for Ultrafast Image Transmission and 3 -D Holographic TVT. Konishi, Y. lchioka. 749