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ORCIDNeurocomputing, Volume 30
Volume 30, Number 1-4, January 2000
- Ian T. Nabney
, Dan Cornford, Christopher K. I. Williams:
Bayesian inference for wind field retrieval. 3-11 - Dan Cornford, Guillaume Ramage, Ian T. Nabney:
A scatterometer neural network sensor model with input noise. 13-21 - David J. Evans, Dan Cornford, Ian T. Nabney:
Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements. 23-30 - Fouad Badran, Michel Crépon, Carlos Mejia, Sylvie Thiria, Ngan Tran:
Empirical transfer function determination by the use of multilayer perceptron. 31-35 - Philippe Richaume, Fouad Badran, Michel Crépon, Carlos Mejia, H. Roquet, Sylvie Thiria:
Neural network wind retrieval from ERS-1 scatterometer data. 37-46 - Christophe Ambroise, Geniève Sèze, Fouad Badran, Sylvie Thiria:
Hierarchical clustering of self-organizing maps for cloud classification. 47-52 - Olivier Maas, Jean-Philippe Boulanger, Sylvie Thiria:
Use of neural networks for predictions using time series: Illustration with the El Niño Southern oscillation phenomenon. 53-58 - Michel de Bollivier, Walter Eifler, Sylvie Thiria:
Sea surface temperature forecasts using on-line local learning algorithm in upwelling regions. 59-63 - Fionn Murtagh, G. Zheng, Jonathan G. Campbell, Alex Aussem:
Neural network modelling for environmental prediction. 65-70 - Alex Aussem, David R. C. Hill:
Neural-network metamodelling for the prediction of Caulerpa taxifolia development in the Mediterranean sea. 71-78 - Chi Chiu Cheung, Lei Xu:
Some global and local convergence analysis on the information-theoretic independent component analysis approach. 79-102 - Sreeparna Banerjee, D. Dutta Majumder:
Shape matching in multimodal medical images using point landmarks with Hopfield net. 103-116 - Ying Tan, Chao Deng:
Solving for a quadratic programming with a quadratic constraint based on a neural network frame. 117-128 - Yonghong Tan, Mehrdad Saif:
Neural-networks-based nonlinear dynamic modeling for automotive eng. 129-142 - Tianping Chen, Shun-ichi Amari:
Dynamic behavior of the robust decorrelation process. 143-151 - Antanas Verikas, Adas Gelzinis:
Training neural networks by stochastic optimisation. 153-172 - Lei Guo:
Parallel double-conversion spiking neural network for world-centered recognition. 173-183 - Mark James Neal:
An analog VLSI design for a neuron with a choice of learning rules. 185-200 - Arthur Petrosian, Danil V. Prokhorov, Richard Homan, Richard Dasheiff, Donald C. Wunsch II:
Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG. 201-218 - Jim Y. F. Yam, Tommy W. S. Chow:
A weight initialization method for improving training speed in feedforward neural network. 219-232 - Jun Oh Jang, Gi Joon Jeon:
A parallel neuro-controller for DC motors containing nonlinear friction. 233-248 - Daijin Kim, Sunha Ahn, Dae-Seong Kang:
Co-adaptation of self-organizing maps by evolution and learning. 249-272 - Chun-Shin Lin, Chien-Kuo Li:
A sum-of-product neural network (SOPNN). 273-291 - Chang-song Zhou, Tian-lun Chen:
Chaotic neural networks and chaotic annealing. 293-300 - Jacek Mandziuk:
Optimization with the Hopfield network based on correlated noises: Experimental approach. 301-321 - Antti Vauhkonen, Martti Juhola:
Convergence of a spreading activation neural network with application of simulating aphasic naming errors in Finnish language. 323-332 - Xi Min Zhang, Yan Qiu Chen:
Ray-guided global optimization method for training neural networks. 333-337 - Sheng Chen, Z. He, Peter M. Grant:
Artificial neural network visual model for image quality enhancement. 339-346
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