Neural Networks PDF Download
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Author: O. Benhar (et al.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 341
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Book Description
Author: O. Benhar (et al.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 341
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Omar Benhar
Publisher: World Scientific
ISBN: 9814553581
Category :
Languages : en
Pages : 358
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Book Description
Neural network models, in addition to being of intrinsic theoretical interest, have also proved to be a useful framework in which issues in theoretical biology can be put into perspective. These issues include, amongst others, modelling the activity of the cortex and the study of protein folding. More recently, neural network models have been extensively investigated as tools for data analysis in high energy physics experiments. These workshop proceedings reflect the strongly interdisciplinary character of the field and provide an updated overview of recent developments.
Author:
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ISBN:
Category :
Languages : fr
Pages : 341
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Book Description
Author:
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ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 341
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Book Description
Author: O. Benhar
Publisher:
ISBN:
Category :
Languages : es
Pages : 341
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Book Description
Author: Omar Benhar
Publisher:
ISBN: 9789814536257
Category :
Languages : en
Pages : 358
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Book Description
Author: Daniel J Amit
Publisher: World Scientific
ISBN: 9814548405
Category :
Languages : en
Pages : 310
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Book Description
The papers appearing in this proceedings volume cover a broad range of subjects, owing to the highly cross-disciplinary character of the workshop, and include: experiments and models concerning the dynamics of the neural activity in the cortex (DMS experiments, attractor dynamics in the cortex, spontaneous activity…); hippocampus, space and memory; theoretical advances in neural network modeling; information processing in neural networks; applications of neural networks to experimental physics, particularly to high energy physics; digital and analog hardware implementations of neural networks; etc.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 341
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Book Description
Author: Denis Perret-gallix
Publisher: World Scientific
ISBN: 981455426X
Category : Science
Languages : en
Pages : 802
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Book Description
A vivid example of the growing need for frontier physics experiments to make use of frontier technology is in the field of Artificial Intelligence (AI) and related themes.By AI we are referring here to the use of computers to deal with complex objects in an environment based on specific rules (Symbolic Manipulation), to assist groups of developers in the design, coding and maintenance of large packages (Software Engineering), to mimic human reasoning and strategy with knowledge bases to make a diagnosis of equipment (Expert Systems) or to implement a model of the brain to solve pattern recognition problems (Neural Networks). These techniques, developed some time ago by AI researchers, are confronted by down-to-earth problems arising in high-energy and nuclear physics. However, similar situations exist in other 'big sciences' such as space research or plasma physics, and common solutions can be applied.The magnitude and complexity of the experiments on the horizon for the end of the century clearly call for the application of AI techniques. Solutions are sought through international collaboration between research and industry.
