artificial neural network modelling

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Artificial Neural Network Modelling

Author : Subana Shanmuganathan
ISBN : 9783319284958
Genre : Computers
File Size : 65. 40 MB
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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.

Modelling Perception With Artificial Neural Networks

Author : Colin R. Tosh
ISBN : 1139489054
Genre : Science
File Size : 33. 24 MB
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Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrinsic' (physiological) ones. The drive behind this change has been the increasing availability of neural network models. With contributions from experts in the field, this book provides a complete survey of artificial neural networks. The book opens with two broad, introductory level reviews on the themes of the book: neural networks as tools to explore the nature of perceptual mechanisms, and neural networks as models of perception in ecology and evolutionary biology. Later chapters expand on these themes and address important methodological issues when applying artificial neural networks to study perception. The final chapter provides perspective by introducing a neural processing system in a real animal. The book provides the foundations for implementing artificial neural networks, for those new to the field, along with identifying potential research areas for specialists.

Artificial Neural Networks For The Modelling And Fault Diagnosis Of Technical Processes

Author : Krzysztof Patan
ISBN : 9783540798712
Genre : Technology & Engineering
File Size : 89. 49 MB
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An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.

Artificial Higher Order Neural Networks For Modeling And Simulation

Author : Zhang, Ming
ISBN : 9781466621763
Genre : Computers
File Size : 68. 43 MB
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"This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks"--Provided by publisher.

Artificial Neural Network Modelling

Author : S. Mohan (Civil engineer)
ISBN : LCCN:2008330862
Genre : Hydrology
File Size : 74. 76 MB
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Artificial Neural Network Modelling In Nuclear Fusion Research And Engineering At The Jet Tokamak

Author : Jakob Svensson
ISBN : OCLC:185178517
Genre :
File Size : 49. 98 MB
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A Comparison Of Statistical Techniques And Artificial Neural Network Models In Corporate Bankruptcy Prediction

Author : Margaret Devine Dwyer
ISBN : WISC:89046658993
Genre : Law
File Size : 23. 2 MB
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