• Introduction, C.H. Chen; combined neural-net/knowledge-based adaptive systems for large scale dynamic control, A.D.C. Holden and S.C. Suddarth; a connectionist incremental expert system combining production systems and associative memory, H.F. Yin and P. Liang; optimal hidden units for two-layer nonlinear feedforward networks, T.D. Sanger; an incremental fine adjustment algorithm for the design of optimal interpolating networks, S.K. Sin and R.J.P. deFigueiredo; on the asymptotic properties of recurrent neural networks for optimization, J. Wang; a real-time image segmentation system using a connectionist classifier architecture, W.E. Blanz and S.L. Gish; segmentation of ultrasonic images with neural network technology's on automatic active sonar classifier development, T.B. Haley; on the relationships between statistical pattern recognition and artificial neural networks, C.H. Chen.

"The emphasis of this book is genuinely on practical techniques - a rarity in books on neural networks ... there is much here that will interest the neural computing specialist." Nick Beard Neural and Computing Applications, 1992