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Artificial Neural Network Modelling

2016-02-03 Technology & Engineering
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Release : 2016-02-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 959/5 ( reviews)

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Book Synopsis Artificial Neural Network Modelling by : Subana Shanmuganathan

Download or read book Artificial Neural Network Modelling written by Subana Shanmuganathan. This book was released on 2016-02-03. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Comprehensive Guide to Neural Network Modeling

2020-10-26 Computers
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Release : 2020-10-26
Genre : Computers
Kind : eBook
Book Rating : 423/5 ( reviews)

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Book Synopsis A Comprehensive Guide to Neural Network Modeling by : Steffen Skaar

Download or read book A Comprehensive Guide to Neural Network Modeling written by Steffen Skaar. This book was released on 2020-10-26. Available in PDF, EPUB and Kindle. Book excerpt: As artificial neural networks have been gaining importance in the field of engineering, this compilation aims to review the scientific literature regarding the use of artificial neural networks for the modelling and optimization of food drying processes. The applications of artificial neural networks in food engineering are presented, particularly focusing on control, monitoring and modeling of industrial food processes.The authors emphasize the main achievements of artificial neural network modeling in recent years in the field of quantitative structure-activity relationships and quantitative structure-retention relationships.In the closing study, artificial intelligence techniques are applied to river water quality data and artificial intelligence models are developed in an effort to contribute to the reduction of the cost of future on-line measurement stations.

Artificial Higher Order Neural Networks for Modeling and Simulation

2012-10-31 Computers
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Release : 2012-10-31
Genre : Computers
Kind : eBook
Book Rating : 761/5 ( reviews)

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Book Synopsis Artificial Higher Order Neural Networks for Modeling and Simulation by : Zhang, Ming

Download or read book Artificial Higher Order Neural Networks for Modeling and Simulation written by Zhang, Ming. This book was released on 2012-10-31. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Neural Network Models

1997-05-30 Technology & Engineering
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Release : 1997-05-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 297/5 ( reviews)

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Book Synopsis Neural Network Models by : Philippe de Wilde

Download or read book Neural Network Models written by Philippe de Wilde. This book was released on 1997-05-30. Available in PDF, EPUB and Kindle. Book excerpt: Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.

Neural Networks: Computational Models and Applications

2007-03-12 Computers
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Release : 2007-03-12
Genre : Computers
Kind : eBook
Book Rating : 258/5 ( reviews)

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Book Synopsis Neural Networks: Computational Models and Applications by : Huajin Tang

Download or read book Neural Networks: Computational Models and Applications written by Huajin Tang. This book was released on 2007-03-12. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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