Books

20+ results found
Title Authors Description OpenBook ID
Mechanisms in classical conditioning Mechanisms in classical conditioning Nestor A. Schmajuk "What mechanisms are involved in enabling us to generate predictions of what will happen in the near future? Although we use associative mechanisms as the basis to predict future events, such as usin… OL15316224W
Artificial neural networks in biological and environmental analysis Artificial neural networks in biological and environmental analysis Grady Hanrahan "Drawing on the experience and knowledge of a practicing professional, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of artific… OL15520934W
Neuromorphic and brain-based robots Neuromorphic and brain-based robots Jeffrey L. Krichmar "Neuromorphic and brain-based robotics have enormous potential for furthering our understanding of the brain. By embodying models of the brain on robotic platforms, researchers can investigate the ro… OL15980313W
Artificial higher order neural networks for economics and business Artificial higher order neural networks for economics and business Ming Zhang "This book is the first book to provide opportunities for millions working in economics, accounting, finance and other business areas education on HONNs, the ease of their usage, and directions on ho… OL16951926W
Multiple classifier systems Multiple classifier systems Josef Kittler,Fabio Roli Multiple Classifier Systems: First International Workshop, MCS 2000 Cagliari, Italy, June 21–23, 2000 Proceedings<br />Author: <br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-677… OL16965494W
Advances in Computational Intelligence Advances in Computational Intelligence Ignacio Rojas This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, S… OL19824264W
Advances in self-organising maps Advances in self-organising maps Jon Slack,Hujun Yin,Nigel Allinson,Lesley Allinson The Self-Organising Map (SOM), with its related techniques, is one of the most popular and powerful concepts for unsupervised pattern recognition and data visualisation. Over 3,000 applications have … OL19824765W
Artificial Neural Networks for Modelling and Control of Non-Linear Systems Artificial Neural Networks for Modelling and Control of Non-Linear Systems Johan A. K. Suykens Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their … OL19828041W
The brain from 25,000 feet The brain from 25,000 feet Mark A. Changizi In The Brain from 25,000 Feet, Mark A. Changizi defends a non-reductionist philosophy and applies it to a variety of problems in the brain sciences. Some of the key questions answered are as follows.… OL19832082W
Cellular Neural Networks and Analog VLSI Cellular Neural Networks and Analog VLSI Leon O. Chua Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area. Cellular Neural Networks and Analog VLSI serves… OL19833637W
Computational intelligence for movement sciences Computational intelligence for movement sciences Marimuthu Palaniswami,Rezaul Begg "This book provides information regarding state-of-the-art research outcomes and cutting-edge technology on various aspects of the human movement"--Provided by publisher. OL19836190W
Concurrent Learning and Information Processing Concurrent Learning and Information Processing Robert J. Jannarone Many monitoring, forecasting, and control operations occur in settings where relationships among key measurements must be learned quickly. Examples are on-line industrial processes where influent mat… OL19837047W
Fuzzy and neural Fuzzy and neural Buckley, James J. This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is ele… OL19852040W
Intelligent Control Based on Flexible Neural Networks Intelligent Control Based on Flexible Neural Networks Mohammad Teshnehlab The use of flexible sigmoid functions makes artificial neural networks more versatile. This volume determines learning algorithms for sigmoid functions in several different learning modes using flexi… OL19858192W
Intelligent Hybrid Systems Intelligent Hybrid Systems Da Ruan Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications o… OL19858213W
Learning and Generalisation Learning and Generalisation M. Vidyasagar Learning and Generalization provides a formal mathematical theory for addressing intuitive questions such as: How does a machine learn a new concept on the basis of examples? How can a neural network… OL19882488W
Neural Nets WIRN VIETRI-97 Neural Nets WIRN VIETRI-97 Maria Marinaro This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics rela… OL19890384W
Neural Network Data Analysis Using SimulnetTM Neural Network Data Analysis Using SimulnetTM Edward J. Rzempoluck This book and sofwtare package provide a complement to the traditional data analysis tools already widely available. It presents an introduction to the analysis of data using neural networks. Neural … OL19890389W
Neural Networks for Vision, Speech and Natural Language Neural Networks for Vision, Speech and Natural Language R. Linggard This book is a collection of papers by British Telecom researchers and their BT funded academic collaborators in the BT Connex project. This project concerns the application of neural networks to ima… OL19890400W
Stable Adaptive Neural Network Control Stable Adaptive Neural Network Control S. S. Ge While neural network control has been successfully applied in various practical applications, many important issues, such as stability, robustness, and performance, have not been extensively research… OL19903625W
Next page