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Neurocomputing, Volume 9
Volume 9, Number 1, September 1995
- Shaohua Tan, Jianbin Hao, Joos Vandewalle:
Efficient identification of RBF neural net models for nonlinear discrete-time multivariable dynamical systems. 11-26 - Kaoru Hirota, Takayuki Tsurumaru, Atsushi Motegi, Naoyoshi Yubazaki, Masayuki Ohtani, Takashi Miyajima:
A successive learning neuro GA control system shooting an irregular moving object. 27-38 - Keigo Watanabe, Katsuhiro Hara, Shinji Koga, Spyros G. Tzafestas:
Fuzzy-neural network controllers using mean-value-based functional reasoning. 39-61 - Dimitris Tsaptsinos, Rui Tang, J. Ron Leigh:
Neuroidentification of a biotechnological process: Issues and application. 63-79 - Tsong-Chih Hsu, Sheng-De Wang:
Comments on "On the design of feedforward neural networks for binary mapping [1]". 81-84 - V. David Sánchez A.:
Robustization of a learning method for RBF networks. 85-94
Volume 9, Number 2, October 1995
- Shigetoshi Shiotani, Toshio Fukuda, Takanori Shibata:
A neural network architecture for incremental learning. 111-130 - Kalmanje Krishnakumar, Susan Rickard, Susan Bartholomew:
Adaptive neuro-control for spacecraft attitude control. 131-148 - Yoh-Han Pao, Stephen M. Phillips:
The functional link net and learning optimal control. 149-164 - Francesco Bini Verona, Francesco E. Lauria:
On an adaptable connectionist robot control system. 165-185 - Sukhan Lee, Jung-Moon Lee:
Nonlinear system control based on multi-resolution radial-basis competitive and cooperative networks. 187-206 - Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski
:
Accelerating training of radial basis function networks with Cascade-Correlation algorithm. 207-213 - Paul S. Prueitt:
Scale in conscious experience: Is the brain too important to be left to biologists to study?: Conference report on The Third Appalachian Conference on Behavioral Neurodynamics, Radford University, September 9-12, 1994. 233-238
Volume 9, Number 3, December 1995
- Christopher G. Atkeson, Stefan Schaal:
Memory-based neural networks for robot learning. 243-269 - Vijaykumar Gullapalli:
Direct associative reinforcement learning methods for dynamic systems control. 271-292 - Mark Cannon
Space-frequency localized basis function networks for nonlinear system estimation and control. 293-342 - Lutz Prechelt
Some notes on neural learning algorithm benchmarking. 343-347 - Yih-Gong Lee, Yuang-Cheh Hsueh:
Fuzzy logic approach for removing noise. 349-355
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