Recent Advances in Artificial Neural Networks
1st Edition
Published on 4. May 2018
372 pages
978-1-351-08466-6 (ISBN)
Description
Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now.
Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.
Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
ISBN-13
978-1-351-08466-6 (9781351084666)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
06/2020
1st Edition
CRC Press
€49.00
Shipment within 15-20 days
Book
12/2017
1st Edition
CRC Press
€173.61
Shipment within 15-20 days
Person
L. C. Jain
Content
1. A Neuro-Symbolic Hybrid Intelligent Architecture With Applications 2. New Radical Basis Neural Networks and Their Application in a Large-Scale Handwritten Digit Recognition Problem 3. Efficient Neural Network-Based Methodology for the Design of Multiple Classifiers 4. Learning Fine Motion in Robotics: Design and Experiments 5. A New Neural Network for Adaptive Pattern Recognition of Multichannel Input Signals 6. Lateral Priming Adaptive Resonance Theory (LAPART)-2: Innovation in Art 7. Neural Network Learning in A Travel Reservation Domain 8. Recent Advances in Neural Network Applications in Process Control 9. Monitoring Internal Combustion Engines by Neural Network Based Virtual Sensing 10. Neural Architectures of Fuzzy Petri Nets
