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Algorithms & Architectures (Neural Network Systems Techniques and Applications)
Algorithms & Architectures (Neural Network Systems Techniques and Applications)
Inspired by the structure of the human brain, artificial neural networks have been widely applied to fields such as pattern recognition, optimization, coding, control, etc., because of their ability to solve cumbersome or intractable problems by learning directly from data. An artificial neural network usually consists of a large number of simple...
An Introduction to Control Systems
An Introduction to Control Systems

This significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical. It is an excellent text for use as a first course in Control Systems by undergraduate students in all branches of engineering and applied mathematics. The book contains: A comprehensive coverage of...

Neural Crest Cells: Evolution, Development and Disease
Neural Crest Cells: Evolution, Development and Disease

Neural Crest Cells: Evolution, Development and Disease summarizes discoveries of historical significance and provides in-depth, current analyses of the evolution of neural crest cells, their contribution to embryo development, and their roles in disease. In addition, prospects for tissue engineering, repair and regeneration are...

Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks, Volume 23
Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks, Volume 23
In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sections (GA and ANN). In each part, tutorial chapters are included in which the theoretical bases...
Side Bias: A Neuropsychological Perspective
Side Bias: A Neuropsychological Perspective

`Rather than being an esoteric aspect of brain function, lateralization is a fundamental characteristic of the vertebrate brain essential to a broad range of neural and behavioral processes.' Professor Lesley J. Rogers, Chapter 1 of Side Bias: A Neuropsychological Perspective. This volume contains 14 chapters from a...

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Build next-generation artificial intelligence systems with Java

Key Features

  • Implement AI techniques to build smart applications using Deeplearning4j
  • Perform big data analytics to derive quality insights using Spark MLlib
  • Create self-learning systems using...
Exploratory Analysis and Data Modeling in Functional Neuroimaging
Exploratory Analysis and Data Modeling in Functional Neuroimaging
"All of the papers are well presented and accompanied by illustrative experimental applications. The book coverage goes beyond standard methodologies in functional neuroimaging and amounts to a highly valuable contribution to the field."
 -- Alfonso Nieto-Castanon, Neural Networks 18 (2005) 307-308

Functional
...
Heuristic and Optimization for Knowledge Discovery
Heuristic and Optimization for Knowledge Discovery
With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic...
Mind Design II: Philosophy, Psychology, and Artificial Intelligence
Mind Design II: Philosophy, Psychology, and Artificial Intelligence
"Ming Design II is a welcome update of its predecessor, itself a useful compendium on the philosophy of cognitive science. This new volume retains the intellectual foundations, and some discussions of classical AI built on them, while adding connectionism, situated AI, and dynamic systems theory as extra storeys. Which of these is...
Robot Manipulator Control: Theory and Practice (Control Engineering, 15)
Robot Manipulator Control: Theory and Practice (Control Engineering, 15)

Discloses the elements of control theory and robot dynamics. Surveys computed-torque control, robust control of robotic manipulators, adaptive control of robotic manipulators, neural network control of robots, force control, and advanced control techniques. Includes information on designing and operating robotic platforms in discussing robot...

The 3rd International Workshop on Intelligent Data Analysis and Management (Springer Proceedings in Complexity)
The 3rd International Workshop on Intelligent Data Analysis and Management (Springer Proceedings in Complexity)

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving...

Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
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