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 networkbased parallelism of backpropagation neural networks on a heterogeneous array 
11 
Fredric M. Ham and Ivica
Kostanic A neural network architecture for partial leastsquares 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 
HyoGyu Kim and SeYoung
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 humanlike processing network with recognitionbygeneration 
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 ZhongZhi
Bai On the convergence of twostage 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 leastsquares 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 MultiModel 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 nonGaussian 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.AlZanaidi
and A.Z. AlShammeri Highaccuracy finitedifference schemes for the diffusion equation

523

Contents

537 
Author List

541 