Neural Networks and Pattern RecognitionBy
- Omid Omidvar
- Judith Dayhoff
Researchers and practitioners in the fields of pattern recognition, neural networks, signal processing, control engineering, electrical engineering, industrial engineering, and mechanical engineering.
Hardbound, 351 Pages
Published: October 1997
Imprint: Academic Press
"Contributors incorporate landmark results on how neural network models have evolved from simple feedforward systems into advanced neural architectures with self-sustained activity patters, simple and complicated oscillations, specialized time elements, and new capabilities for analysis and processing of time-varying signals. Coverage includes the architecture and capabilities of pulse-coupled networks; the relationship between automata and recurrent neural networks; and a putative neurobiological model that correlates with trial-and-error learning."
--REFERENCE & RESEARCH BOOK NEWS