Neural, Parallel & Scientific Computations
Volume 6, 1998
CONTENTS
| G. Oksa and D. J. Evans Triangular systolic arrays for QZ matrix decomposition |
1 |
| Shou King Foo, P. Saratchandran
and N. Sundararajan Topology independent network-based parallelism of backpropagation neural networks on a heterogeneous array |
11 |
| Fredric M. Ham and Ivica
Kostanic A neural network architecture for partial least-squares regression (PLSNET) with supervised adaptive modular Hebbian learning |
35 |
| M. B. Zaremba and E.
Porada Neuromorphic controller for locally guided robot navigation |
73 |
| W. S. Gan and Y. K.
Chong Frequency bin adaptive filter: parallel implementation and analysis |
87 |
| H. A. Babri, A. C. Kot, T. Yin,
H. S. Lim and H. Lim A cost function constraint to reduce the convergence time in BP networks |
109 |
| Hyo-Gyu Kim and Se-Young
Oh Identification and direct adaptive control using neural network |
121 |
| Lyubomir T. Gruyitch Physical continuity and uniqueness principle. Exponential natural tracking control |
143 |
| Hongqing Cao, Lishan Kang,
Zhigniew Michalewicz, and Yuping Chen A hybrid evolutionary modeling algorithm for system of ordinary differential equations |
171 |
| Alvin S. Lim, Yufeng Chen, and
Nazir Warsi Parallel program execution analysis for performance tuning |
189 |
| T. Yin, H. A. Babri, and D. P.
Mital Sensitivity and attenuation compensated training of multilayered networks |
199 |
| C. S. Liu and C. H. Tseng A new training algorithm for multilayer discrete perceptrons |
217 |
| Kwanyong Lee, Hyeran Byun, and
Yillbyung Lee Korean character recognition based on human-like processing network with recognition-by-generation |
229 |
| Yongrock Yoon, Hyeran Byun,
Yilbyung Lee, and Jisang Yoo Application of PVM: A new parallel implementation of adaptive stack filtering algorithm |
251 |
| Angela Slavova Topological degree approach for studying nonlinear cellular neural networks |
267 |
| D. J. Evans and Zhong-Zhi
Bai On the convergence of two-stage multisplitting methods for linear systems |
279 |
| Eric Mjolsness and Willard L.
Miranker A Lagrangian formulation of neural networks I: theory and analog dynamics |
297 |
| Willard L. Miranker and
Eric Mjolsness A Lagrangian formulation of neural networks II: clocked objective functions and applications |
337 |
| Theodore H. Kaskalis and
Konstantinos G. Margaritis An SIMD implementation of optimal linear associative memory neural networks |
373 |
| Thomas M. McDowall and
Fredric M. Ham Robust learning in a generalized partial least-squares regression modular neural network |
391 |
| S. A. Karkanis, D. A.
Karras and B. G. Mertzios A novel signal modeling method using the wavelet transform
|
417 |
| G.D.Manioudakis and
S.D.Likothanassis Multi-Model minimum variance control using neural networks
|
429 |
| Roumeliotis Manos, Kofidis
Nikos, and Adamopoulos Miltiadis Back propagation neural networks with functional link input structure as models of chaotic attractors
|
451 |
| Suhas Phadke and Dheeraj
Bhardwaj Parallel implementation of seismic modeling algorithms on PARAM openframe
|
469 |
| D.G. Lainiotis, P.K.
Giannakopoulos and S.K. Katsikas Estimation for linear systems with non-Gaussian initial state:Centralized and decentralized partitioning algorithms
|
479 |
| Jin Young Choi and Hyun
Joo Park Neural iterative learning control for unknown nonlinear systems
|
501 |
| D.A. Karras and V.
Zorkadis On applying multilayer perceptron learning properties to (pseudo) random number generation and evaluation
|
513
|
| M. M. Chawla, M.A.Al-Zanaidi
and A.Z. Al-Shammeri High-accuracy finite-difference schemes for the diffusion equation
|
523
|
| Contents
|
537 |
| Author List
|
541 |