Neural Networks: Computational Models And Applications
Title | Neural Networks: Computational Models And Applications PDF eBook |
Author | Tang |
Publisher | |
Pages | 322 |
Release | 2009-10-01 |
Genre | |
ISBN | 9788184894363 |
Neural Networks: Computational Models and Applications
Title | Neural Networks: Computational Models and Applications PDF eBook |
Author | Huajin Tang |
Publisher | Springer Science & Business Media |
Pages | 310 |
Release | 2007-03-12 |
Genre | Computers |
ISBN | 3540692258 |
Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. The book offers a compact, insightful understanding of the broad and rapidly growing neural networks domain.
Neural Networks: Computational Models and Applications
Title | Neural Networks: Computational Models and Applications PDF eBook |
Author | Huajin Tang |
Publisher | Springer |
Pages | 310 |
Release | 2007-03-09 |
Genre | Computers |
ISBN | 3540692266 |
Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. The book offers a compact, insightful understanding of the broad and rapidly growing neural networks domain.
Artificial Neural Network Modelling
Title | Artificial Neural Network Modelling PDF eBook |
Author | Subana Shanmuganathan |
Publisher | Springer |
Pages | 468 |
Release | 2016-02-03 |
Genre | Technology & Engineering |
ISBN | 3319284959 |
This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.
Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications
Title | Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications PDF eBook |
Author | Zhang, Ming |
Publisher | IGI Global |
Pages | 660 |
Release | 2010-02-28 |
Genre | Computers |
ISBN | 1615207120 |
"This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.
Neural Networks
Title | Neural Networks PDF eBook |
Author | Erol Gelenbe |
Publisher | |
Pages | 273 |
Release | 1991 |
Genre | Neural networks (Computer science) |
ISBN | 9780444893307 |
Advances in Neural Networks: Computational and Theoretical Issues
Title | Advances in Neural Networks: Computational and Theoretical Issues PDF eBook |
Author | Simone Bassis |
Publisher | Springer |
Pages | 392 |
Release | 2015-06-05 |
Genre | Technology & Engineering |
ISBN | 3319181645 |
This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and bio-inspired memristor-based networks. Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies.