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.
Key Features
* 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

Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance.
Key Features
* Focuses on the use of neural networks in robotics-one of the hottest application areas for neural networks technology
* Represents the most up-to-date developments in this rapidly growing application area of neural networks
* Contains a new and novel approach to solving Robotics problems

Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance.
Key Features
* Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory
* Represents the most up-to-date developments in this rapidly growing application area of neural networks
* Takes a new and novel approach to system identification and synthesis