Neural Networks and Pattern Recognition - Tapa dura

Críticas

"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 AND RESEARCH BOOK NEWS

Reseña del editor

This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology. The contributors are widely known and highly respected researchers and practitioners in the field.

• Features neural network architectures on the cutting edge of neural network research
• Brings together highly innovative ideas on dynamical neural networks
• Includes articles written by authors prominent in the neural networks research community
• Provides an authoritative, technically correct presentation of each specific technical area