Proceedings of International Conference on Neural Networks (ICNN'88), San Diego, CA, USA, July 24-27, 1988. IEEE, 1988. [doi]

Conference: icnn1988

Abstract is missing.

- Why neural networks don't yet fly: inquiry into the neurodynamics of biological intelligence1-7 [doi]
- Asynchronous dynamics of random Boolean networks1-7 [doi]
- Race networks: a theory of competitive recognition networks based on the rate of reactivation of neurons in cortical columns9-16 [doi]
- Bifurcation theory methods for programming static or periodic attractors and their bifurcations in dynamic neural networks9-16 [doi]
- Neuron layer with reciprocal inhibition as a mechanism of random choice17-25 [doi]
- DETE: connectionist/symbolic model of visual and verbal association17-24 [doi]
- A neural network for pattern generation in the scratch reflex25-32 [doi]
- Stability theorem for lateral inhibition networks that is robust in the presence of circuit parasitics27-36 [doi]
- Temporal structure in neural networks with impulse train connections33-45 [doi]
- Dynamical properties of threshold automata with nearest-neighbor interactions on a regular lattice37-43 [doi]
- An investigation on local minima of a Hopfield network for optimization circuits45-51 [doi]
- The toad optic tectum as a recurrent on-center off-surround neural net with quenching threshold47-54 [doi]
- Recurrent nets for the storage of cyclic sequences53-60 [doi]
- Bit-vector optimization algorithms for control of learning in neurons with second-messenger dynamics55-62 [doi]
- Statistical pattern recognition with neural networks: benchmarking studies61-68 [doi]
- Neural network models and their application to handwritten digit recognition63-70 [doi]
- An improved elastic net method for the traveling salesman problem69-76 [doi]
- Computation of optical flow using a neural network71-78 [doi]
- A neural controller for collision-free movement of general robot manipulators77-84 [doi]
- A model of motion computation in primates79-86 [doi]
- Solution of the traveling salesman problem with an adaptive ring85-92 [doi]
- Physiological engineering model of the retinal horizontal cell layer87-94 [doi]
- Self-organising multilayer topographic mappings93-100 [doi]
- A multilayer cooperative/competitive method for creating hierarchical structures by clustering maximally-related nodes95-105 [doi]
- Vector quantization of images based upon the Kohonen self-organizing feature maps101-108 [doi]
- An application of neural net chips: handwritten digit recognition107-115 [doi]
- Kohonen's self-organizing maps: exploring their computational capabilities109-116 [doi]
- Feature extraction in the Neocognitron117-126 [doi]
- Adding a conscience to competitive learning117-124 [doi]
- Invariant pattern recognition by means of fast synaptic plasticity125-132 [doi]
- Psychologically plausible features for shape recognition in a neural network127-134 [doi]
- Conceptual graph knowledge systems as problem context for neural networks133-140 [doi]
- Recognizing image invariants in a neural network architecture135-142 [doi]
- Feedback stability and unsupervised learning141-152 [doi]
- Neural network simulation at Warp speed: how we got 17 million connections per second143-150 [doi]
- A limited-interconnect synthetic neural IC151-158 [doi]
- High-capacity exponential associative memories153-160 [doi]
- The creation of Delta: a new concept in ANS processing159-164 [doi]
- Multilayer feedforward potential function network161-171 [doi]
- Parallel architectures for artificial neural nets165-172 [doi]
- A formulation for the design of neural processors173-180 [doi]
- Why VLSI implementations of associative VLCNs require connection multiplexing173-180 [doi]
- A BAM with increased information storage capacity181-190 [doi]
- Nonstandard A/D conversion based on symmetric neural networks181-188 [doi]
- Decrementing associative networks189-196 [doi]
- A content-addressing software method for the elimination of neural networks191-198 [doi]
- Exploration of learning in an associative magnetic processor197-204 [doi]
- A decentralized tunable short term neural network memory and application to tracking199-206 [doi]
- Abilities and limitations of a neural network model for spoken work recognition205-214 [doi]
- Memory capacity of artificial neural networks with high order node connections207-216 [doi]
- Learning to understand sentences in a connectionist network215-219 [doi]
- Pattern recognition and associative memory as dynamical processes in nonlinear systems217-224 [doi]
- HIERtalker: a default hierarchy of high order neural networks that learns to read English aloud221-228 [doi]
- Neural network model using a normalized inner product as a measure of similarity225-230 [doi]
- Creation by refinement: a creativity paradigm for gradient descent learning networks229-233 [doi]
- A logical architecture for cognitive maps231-238 [doi]
- Adaptive networks as a model for human speech development235-242 [doi]
- Training methods for a connectionist model of consonant-vowel syllable recognition239-246 [doi]
- Localizing sound source by incorporating biological auditory mechanism243-250 [doi]
- Training of a neural network for pattern classification based on an entropy measure247-254 [doi]
- Improvement on speech recognition and synthesis for disabled individuals using fuzzy neural net retrofits251-258 [doi]
- Medical diagnostic expert system based on PDP model255-262 [doi]
- Fast TSP algorithm based on binary neuron output and analog neuron input using the zero-diagonal interconnect matrix and necessary and sufficient constraints of the permutation matrix259-266 [doi]
- On the use of backpropagation in associative reinforcement learning263-270 [doi]
- A comparison study of optimization methods for the bipartite matching problem (BMP)267-273 [doi]
- Learning internal representations in the Coulomb energy network271-276 [doi]
- Stochastic neural networks for solving job-shop scheduling. I. Problem representation275-282 [doi]
- The subspace learning algorithm as a formalism for pattern recognition and neural networks277-284 [doi]
- Stochastic neural networks for solving job-shop scheduling. II. architecture and simulations283-290 [doi]
- Forming global representations with extended backpropagation285-292 [doi]
- Determination of parameters in a Hopfield/Tank computational network291-298 [doi]
- FuzzyProp: a symbolic superstrate for connectionist models293-300 [doi]
- A traveling salesman objective function that works299-303 [doi]
- Backpropagation topologies for sequence generation301-308 [doi]
- An extension of the Hopfield-Tank model for solution of the multiple traveling salesmen problem305-324 [doi]
- When is the generalized delta rule a learning rule? a physical analogy309-315 [doi]
- A local interaction heuristic for adaptive networks317-324 [doi]
- Neural net pruning-why and how325-333 [doi]
- Optimization by neural networks325-332 [doi]
- Alternative networks for solving the traveling salesman problem and the list-matching problem333-340 [doi]
- Factors influencing learning by backpropagation335-341 [doi]
- Integer linear programming neural networks for job-shop scheduling341-348 [doi]
- Backpropagation: past and future343-353 [doi]
- A neural network for Euclidean distance minimization349-356 [doi]
- Learning of word stress in a sub-optimal second order back-propagation neural network355-361 [doi]
- An optically programmed neural network357-364 [doi]
- An algebraic projection analysis for optimal hidden units size and learning rates in back-propagation learning363-370 [doi]
- Bimodal stochastic optical learning machine365-372 [doi]
- The emergence of generalization in networks with constrained representations371-381 [doi]
- A continuous-time optical neural network373-384 [doi]
- Adaptive training of multilayer neural networks using a least squares estimation technique383-390 [doi]
- Programmable multilayer optical neural networks with asymmetric interconnection weights385-393 [doi]
- Multilayer perceptrons and data analysis391-399 [doi]
- Invariance and discrimination properties of the optical associative loop395-402 [doi]
- MADALINE RULE II: a training algorithm for neural networks401-408 [doi]
- Implementation considerations of a subtracting incoherent optical neuron403-410 [doi]
- A decentralized algorithm for learning in adaptable networks409-416 [doi]
- Implementation of neural networks using quantum well based excitonic devices-device requirement studies411-419 [doi]
- Neural 'selective' processing and learning417-424 [doi]
- Color analysis by learning subspaces and optical processing421-427 [doi]
- A self-learning threshold-controlled neural network425-430 [doi]
- Effects of clock skew in iterative neural network and optical feedback processors429-435 [doi]
- An adaptive attentive learning algorithm for single-layer neural networks431-440 [doi]
- The effect of stochastic interconnects in artificial neural network classification437-442 [doi]
- Improving the learning rate of back-propagation with the gradient reuse algorithm441-447 [doi]
- Bond rating: a nonconservative application of neural networks443-450 [doi]
- Faster learning through a probabilistic approximation algorithm449-454 [doi]
- Economic prediction using neural networks: the case of IBM daily stock returns451-458 [doi]
- A new LMS-based algorithm for rapid adaptive classification in dynamic environments: theory and preliminary results455-463 [doi]
- An application of a multiple neural network learning system to emulation of mortgage underwriting judgements459-466 [doi]
- Fast learning in artificial neural systems: multilayer perceptron training using optimal estimation465-472 [doi]
- Application of neural networks to classification of binary profiles derived from individual interviews467-472 [doi]
- Back and counter propagation aberrations473-479 [doi]
- Neural networks in defense applications473-480 [doi]
- A stochastic architecture for neural nets481-488 [doi]
- A multilayer perceptron network for the diagnosis of low back pain481-489 [doi]
- Parallel sequential induction networks: a new paradigm of neural network architecture489-496 [doi]
- Inverse Viterbi algorithm as learning procedure and application to optimization in the string instrument fingering problem491-497 [doi]
- A feature projection based adaptive pattern recognition network497-505 [doi]
- An artificial neural minimum-variance estimator499-506 [doi]
- HNETTER-a heuristically driven neural reasoning system507-514 [doi]
- Characteristics of the functional link net: a higher order delta rule net507-513 [doi]
- Connectionist plan reminding in a hybrid planning model515-523 [doi]
- A symbolic-neural method for solving control problems516-523 [doi]
- Probabilistic neural networks for classification, mapping, or associative memory525-532 [doi]
- Towards connectionist rule-based systems525-532 [doi]
- MOSAIC: a macroconnectionist organization system for artificial intelligence computation533-540 [doi]
- Specification and implementation environment for neural networks using communicating sequential processes533 [doi]
- Unconstrained minimum mean-square error parameter estimation with Hopfield networks541-548 [doi]
- Optical neural networks for image analysis: imaging spectroscopy and production systems541-546 [doi]
- Relaxation neural network for nonorthogonal image transforms547-560 [doi]
- Fuzzy cognitive maps, signal flow graphs, and qualitative circuit analysis549-556 [doi]
- What the robot's hand should tell the robot's brain: feature detection in a biological neural network557-565 [doi]
- Preprocessing of biomedical images for neurocomputer analysis561-568 [doi]
- Building a generic architecture for robot hand control567-574 [doi]
- An optical Fourier/electronic neurocomputer automated inspection system569-576 [doi]
- Neural computation for controlling the configuration of 2-dimensional truss structure575-586 [doi]
- Integration of stereo vision and optical flow using Markov random fields577-584 [doi]
- An adaptive neural net approach to the segmentation of mixed gray-level and binary pictures585-592 [doi]
- A learning architecture for control based on back-propagation neural networks587-594 [doi]
- The use of neural networks in PSRI target recognition593-600 [doi]
- A neuromorphic controller with a human teacher595-602 [doi]
- A hierarchical system for character recognition with stochastic knowledge representation601-608 [doi]
- Intelligent decisions and dynamic coordination: properties of geometrical representation by generalized frames intrinsic to neural and robotic systems603-610 [doi]
- Superresolution for ultrasonic imaging in air using neural networks609-616 [doi]
- Neural networks mediating linearizable dynamic redundant sensori-motor reflexes characterized by minimum of Hermitian norm611-616 [doi]
- Solution to the inverse kinematics problem in robotics by neural networks617-624 [doi]
- Ultradiffusion, scale space transformation, and the morphology of neural networks617-623 [doi]
- Robot control using neural networks625-631 [doi]
- Distortion invariant character recognition by a multi-layer perceptron and back-propagation learning625-632 [doi]
- Statistical neurodynamics of various versions of correlation associative memory633-640 [doi]
- Intelligent control of the Intelledex 605T robot manipulator633-640 [doi]
- Capabilities of three-layered perceptrons641-648 [doi]
- An adaptive 'broom balancer' with visual inputs641-647 [doi]
- Gradient descent fails to separate649-656 [doi]
- There exists a neural network that does not make avoidable mistakes657-664 [doi]
- Back-propagation networks for event-driven temporal sequence processing665-672 [doi]
- The resonance correlation network673-680 [doi]
- Towards a 'neural' architecture for abductive reasoning681-688 [doi]
- Temporal pattern recognition689-696 [doi]