Neural, Parallel & Scientific Computations
Volume 2, 1994
CONTENTS
R. J. Hathaway & J. C. Bezdek An iterative procedure for minimizing a generalized sumof squarederrors clustering criterion 
1 
L. P. Tay and D. J. Evans Fast learning artificial neural network (FLANN II) using the nearest neighbour recall 
17 
Doohyun Choi, SeYoung Oh, HeaDong Chang,
& KwangIck 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 neuralnetworkbased 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. NaraghiPour, & G.
Nandakumar On the capacity of constrained connectivity Hopfield neural networks 
115 
O. AbouRabia and Y.P. Boglaev Differential inequalities and convolution in parallel integration of ODEs 
131 
R. Neville and T. J. Stonham Adaptive associative rewardpenalty algorithms for SigmaPi 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 Hopfieldstyle net 
245 
HsinChu Chen Increasing parallelism in the finite strip formulation: static analysis 
273 
M. Conti and C. Turchetti Approximation of dynamical systems by continuoustime 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 neuralnetworks 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. NaraghiPour, 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 taskoriented neural networks 
533 
Contents of volume 2

543 
Authors' Index

547 