Neural, Parallel & Scientific Computations

Volume 2, 1994


CONTENTS

R. J. Hathaway & J. C. Bezdek
An iterative procedure for minimizing a generalized sum-of-
squared-errors clustering criterion
1


L. P. Tay and D. J. Evans
Fast learning artificial neural network (FLANN II) using the
nearest neighbour recall
17


Doo-hyun Choi, Se-Young Oh, Hea-Dong Chang, & Kwang-Ick Kim
Nonlinear camera calibration using neural networks
29

Hugo Guterman
Application of principal component analysis to the design of
neural networks
43


D. H. Rao, M. M. Gupta, & P. N. Nikiforuk
Performance comparison of dynamic neural processor and
recurrent networks
55


D. Zhang, L. Deng & M. I. Elmasry
Pipelined architecture for neural-network-based speech recognition
81

T. J. Stucke, G. G. Coghill, & G. A. Creak
The mind's eye: extracting structure from naturally variable objects
93

Eric B. Bartlett
Self determination of input variable importance using
neural networks
103


M. Hedge, M. Naraghi-Pour, & G. Nandakumar
On the capacity of constrained connectivity Hopfield
neural networks
115


O. Abou-Rabia and Y.P. Boglaev
Differential inequalities and convolution in parallel
integration of ODEs
131


R. Neville and T. J. Stonham
Adaptive associative reward-penalty algorithms for
Sigma-Pi networks
141


Q. He and L. Kang
Existence and stability of global solution for generalized
Hopfield neural network system
165

P. D. Orkwis and J. H. George
A comparison of CGS precondition methods for Newton's
method solvers
177


S. Koksal, L. V. Fausett, and D. W. Fausett
Using vector Lyapunov functions for stability analysis of
neural networks
195


P. P. Chu
Neural networks as a parallel processing paradigm:
potential and problems
205

V. Kreinovich
Error estimates for indirect measurements is exponentially hard
225

R. Srikanth, C. Koutsougeras, and R. George
Hybrid charge clustering network: a heterogeneous neural network model
235

A. Jagota
Contextual word recognition with a Hopfield-style net
245

Hsin-Chu Chen
Increasing parallelism in the finite strip formulation: static analysis
273

M. Conti and C. Turchetti
Approximation of dynamical systems by continuous-time
recurrent approximate identity neural networks
 

299

 
F. S. King, P. Saratchandran, and N. Sundararajan
A study of parallel implementation of backpropagation
neural networks on a transputer array
321


C. G. Jeong and H. Jeong
A parallel algorithm for phonetic segmentation using
mean field annealing
333


A. N. Jourjine
Dynamic weight storage in pulse coded networks
351

G. Serpen and D. L. Livingston
Analysis of the relationship between weight parameters
and stability of solutions in Hopfield networks from dynamic
systems viewpoint
361



C. N. Manikopoulos and R. Hormis
Speech coding with neural-networks in adaptive DPCM
373

S. M. Bhandarkar and P. Jiang
A comparison of task distribution patterns for matrix
factorization on MIMD multiprocessor architectures
385


S. K. Aityan, R. A. Alo, and A. de Korvin
Introduction to the theory of weighted apertures
407

A. Olvera and C. Vargas
Study of the continuation methods for periodic orbits of the
Froeschle map
421


J. Kim, J. Ahn, C. S. Kim, H. Hwang, and S. Cho
Competitive learning neural network with dynamic output
neuron generation
431


Z. Kewang, and P. Wang
Numerical approximation of an unknown boundary term in a
heat equation
451


P. C. Kainen, V. Kurkova, V. Kreinovich, and O. Sirisaengtaksin
Uniqueness of network parameterization and faster learning
459

M. Hegde, M. Naraghi-Pour, and G. Nandakumar
Flexible learning rules for neural networks
467

L. Jin, P. N. Nikiforuk, and M. M. Gupta
The principles of dynamic neural units Part I: mechanism, dynamics,
and stability
491


W. L. Miranker, and B. E. Willner
A neural system for the animat
517

A. Dobnikar
Genetic synthesis of task-oriented neural networks
533

Contents of volume 2
543
Authors' Index
547