| 133 | -- | 0 | Nikola Kasabov, Takeshi Yamakawa. Preface |
| 135 | -- | 149 | Nikola K. Kasabov. Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems |
| 151 | -- | 160 | Shun'ichi Tano, Takuya Oyama, Thierry Arnould. Deep combination of fuzzy inference and neural network in fuzzy inference software - FINEST |
| 161 | -- | 166 | Young-Jeng Chen, Ching-Cheng Teng. Rule combination in a fuzzy neural network |
| 167 | -- | 176 | Masumi Ishikawa, Teppei Moriyama. Prediction of time series by a structural learning of neural networks |
| 177 | -- | 186 | M. H. Lim, S. Rahardja, B. H. Gwee. A GA paradigm for learning fuzzy rules |
| 187 | -- | 200 | Ron Sun. Commonsense reasoning with rules, cases, and connectionist models: A paradigmatic comparison |
| 201 | -- | 211 | Gloria Bordogna, Gabriella Pasi. A user-adaptive neural network supporting a rule-based relevance feedback |
| 213 | -- | 222 | Arun K. Jagota, Joerg Ueberla, Dmitri Kaznachey. A hybrid connectionist associative memory with perfect storage |
| 223 | -- | 233 | Jim Austin. Distributed associative memories for high-speed symbolic reasoning |
| 235 | -- | 251 | Liya Ding, Hoon heng Teh, Pei-Zhuang Wang, Ho-Chung Lui. A Prolog-like inference system based on neural logic - An attempt towards fuzzy neural logic programming |
| 253 | -- | 263 | Tokiko Yamanoue. Effect of complexity in an oscillatory neural network - relation to human-like reasoning |