| 105 | -- | 108 | Loris Nanni, Alessandra Lumini. Particle swarm optimization for ensembling generation for evidential k-nearest-neighbour classifier |
| 109 | -- | 113 | Luca Grilli, Angelo Sfrecola. A neural networks approach to minority game |
| 115 | -- | 125 | Chun-Fei Hsu. Adaptive recurrent neural network control using a structure adaptation algorithm |
| 127 | -- | 133 | Mounir Ben Nasr, Mohamed Chtourou. A fuzzy neighborhood-based training algorithm for feedforward neural networks |
| 135 | -- | 140 | D. Venkatesan, K. Kannan, R. Saravanan. A genetic algorithm-based artificial neural network model for the optimization of machining processes |
| 141 | -- | 155 | Tae Hyung Kim, Il Kyu Eom, Yoo Shin Kim. Multiscale Bayesian texture segmentation using neural networks and Markov random fields |
| 157 | -- | 174 | Mahdi Aliyari Shoorehdeli, Mohammad Teshnehlab, Ali Khaki Sedigh. Identification using ANFIS with intelligent hybrid stable learning algorithm approaches |
| 175 | -- | 183 | George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu. Combining nearest neighbor data description and structural risk minimization for one-class classification |
| 185 | -- | 192 | Loris Nanni, Alessandra Lumini. Machine learning multi-classifiers for peptide classification |
| 193 | -- | 205 | István Juhos, László Makra, Balázs Tóth. 2 concentrations in Szeged, Hungary |