Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these...
Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI)...
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition...
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine...
This book is the outcome of the International Symposium on Neural Networks for Sensory and Motor Systems (NSMS) held in March 1990 in the FRG. The...
Recent results and ongoing research in Artificial Intelligence are described in this book, with emphasis on fundamental questions in several key...
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...
The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers...
The goal of neurobionics is to elaborate methods for the repairment and substitution of impaired functions of the human nervous system. This...
Neural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from...