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Neural Processing Letters, Volume 16
Volume 16, Number 1, 2002
- Rainer M. Benning, Thomas M. Becker, Antonio Delgado:
Principal Feasability Studies Using Neuro 8211 Numerics for Prediction of Flow Fields. 1-15 - Huang Yuancan:
A Novel Method to Handle Inequality Constraints for Convex Programming Neural Network. 17-27 - Yifeng Zhang, Zhenya He, Chengjian Wei:
Self Organizing Transient Chaotic Neural Network for Cellular Channel Assignment. 29-41 - Alberto Alvarez:
A Neural Network with Evolutionary Neurons. 43-52 - Antanas Verikas, Arunas Lipnickas:
Fusing Neural Networks Through Space Partitioning and Fuzzy Integration. 53-65 - Noriaki Kouda, Nobuyuki Matsui, Haruhiko Nishimura:
Image Compression by Layered Quantum Neural Networks. 67-80 - Iulian B. Ciocoiu:
Hybrid Feedforward Neural Networks for Solving Classification Problems. 81-91
Volume 16, Number 2, 2002
- Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
Self Organizing Dynamic Graphs. 93-109 - Mátyás Brendel, Tamás Roska, Gusztáv Bártfai:
Gradient Computation of Continuous Time Cellular Neural Nonlinear Networks with Linear Templates via the CNN Universal Machine. 111-120 - Siu-Yeung Cho, Tommy W. S. Chow, Kai Tat Ng:
Shape From Shading by Using Neural Based Colour Reflectance Model. 121-136 - Kayvan Najarian:
Learning Based Complexity Evaluation of Radial Basis Function Networks. 137-150 - Tommy W. S. Chow, Sitao Wu:
Piecewise Linear Projection Based on Self Organizing Map. 151-163 - Osamu Hoshino:
Beating in Membrane Potential Mediated by Cortical gamma Oscillations for Reading Out Synchronous Neuronal Activities Over Distant Cortical Areas. 165-175 - Marcus Gallagher, Tom Downs, Ian A. Wood:
Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces. 177-186 - Igor V. Tetko:
Associative Neural Network. 187-199
Volume 16, Number 3, 2002
- Juan-Manuel Torres-Moreno, Julio C. Aguilar, Mirta B. Gordon:
The Minimum Number of Errors in the N-Parity and its Solution with an Incremental Neural Network. 201-210 - Zümray Dokur:
Segmentation of MR and CT Images Using a Hybrid Neural Network Trained by Genetic Algorithms. 211-225 - Yoram Baram, Judith Aharon-Peretz, Yahalomit Simionovici, Lior Ron:
Walking on Virtual Tiles. 227-233 - Yuichi Sakumura, Kazuyuki Aihara:
Stochastic Resonance and Coincidence Detection in Single Neurons. 235-242 - Enrique Carlos Segura Meccia, Roberto P. J. Perazzo:
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics. 243-257 - José L. Sanz-González, Diego Andina, Juan Seijas:
Importance Sampling and Mean Square Error in Neural Detector Training. 259-276 - Aluízio F. R. Araújo, André S. Henriques:
A Stochastic Neural Model for Fast Identification of Spatiotemporal Sequences. 277-292 - Gavin C. Cawley, Nicola L. C. Talbot:
Reduced Rank Kernel Ridge Regression. 293-302
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