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|Introduction to Neural Networks for Java, 2nd Edition
The Quest for Artificial Intelligence: A History of Ideas and Achievements
Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems.
Computational Linguistics: Models, Resources, Applications
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).
Artificial Intelligence: Foundations of Computational Agents
Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students.
Artificial Neural Networks - Methodological Advances and Biomedical Applications
Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications.
Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding.
Introduction to Neural Networks with Java
Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced.
Practical Artificial Intelligence Programming in Java, 3rd Edition
This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence (AI) technologies like genetic algorithms, neural networks, expert systems, machine learning, and statistical natural language processing (NLP).
Recurrent Neural Networks
This book investigates the following Recurrent Neural Networks models which solve some practical problems, together with their corresponding analysis on stability and convergence. A type of multilayer pole-assignment neural networks is applied to online synthesizing and tuning feedback control systems.
A Field Guide to Genetic Programming
This book to provides a complete and coherent review of the theory of genetic programming (GP).
Essentials of Metaheuristics
Metaheuristics is a common but unfortunate name for any stochastic optimization algorithm intended to be the last resort before giving up and using random or brute-force search. Such algorithms are used for problems where you don't know how to find a good solution, but if shown a candidate solution, you can give it a grade. The algorithmic family includes genetic algorithms, hill-climbing, simulated annealing, ant colony optimization, particle swarm optimization, and so on.
Automation and Robotics
In this book, a set of relevant, updated and selected papers in the field of automation and robotics are presented. These papers describe projects where topics of artificial intelligence, modeling and simulation process, target tracking algorithms, kinematic constraints of the closed loops, non-linear control, are used in advanced and recent research.
Eye, Brain, and Vision
Hubel begins by explaining the structure and function of the retina and visual areas of the brain, then proceeds to more complex phenomena, such as how the brain and eyes together produce stereoscopic and color vision. A Nobel Prize winner who has studied vision for over 30 years, he combines expertise with lucid style and an ability to cut through details to the essential (and fascinating!) point. Unusually attractive, clear illustrations complement his discussion.
Recent Advances in Face Recognition
The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications.