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...
In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques...
Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of...
Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural...
The TruCluster Server Handbook authoritatively details how to plan, design, install, configure, and administer a cluster of Tru64 UNIX systems. The...
The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the...
This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with...