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Neural Network Simulation Environments, Josef Skrzypek


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Автор: Josef Skrzypek
Название:  Neural Network Simulation Environments
ISBN: 9780792394150
Издательство: Springer
Классификация:
ISBN-10: 0792394151
Обложка/Формат: Hardcover
Страницы: 251
Вес: 0.57 кг.
Дата издания: 28.02.1994
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 234 x 156 x 18
Основная тема: Physics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Describes examples of neural simulation environments. Various neural simulation tools can be classified into four overlapping categories of increasing sophistication in software engineering. This volume is useful for researchers in both academia and industry, and can be used as a text for advanced courses on the subject.


Artificial Neural Network Modelling

Автор: Subana Shanmuganathan; Sandhya Samarasinghe
Название: Artificial Neural Network Modelling
ISBN: 3319284932 ISBN-13(EAN): 9783319284934
Издательство: Springer
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Цена: 19591.00 р.
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Описание:

Artificial Neural Networks Applications: An Introduction.- Order in the Black Box: Consistency And Robustness Of Neuron Activation Of Feed Forward Neural Networks And Its Use In Efficient Optimization Of Network Structure.- Artificial Neural Networks as Models of Robustness in Development And Regeneration: Stability of Memory During Morphological Remodeling.- A Structure Optimization Algorithm of Neural Networks For Pattern Learning from Educational Data.- Stochastic Neural Networks for Modelling Random Processes from Observed Data.- Curvelet Interaction with Artificial Neural Networks.- Hybrid Wavelet Neural Network Approaches.-Quantification of Prediction Uncertainty in Artificial Neural Network Models.- Classifying Calpain Inhibitors for The Treatment of Cataracts: A Self Organising Map (SOM) ANN/KM Approach in Drug Discovery.- Improved Ultrasound Based Computer Aided Diagnosis System for Breast Cancer Using Neural Networks Incorporating a Novel Effective Feature - Degree of Central Regularity of Mass.-SOM Clustering and Modelling of Australian Railway Drivers' Sleep, Wake, Duty Profiles.- A Neural Approach to Electricity Demand Forecasting.- Development of Artificial Intelligence Based Regional Flood Estimation Techniques for Eastern Australia.- Artificial Neural Networks in Precipitation Nowcasting: An Australian Case Study.- Construction of Pmx Concentration Surfaces Using Neural Evolutionary Fuzzy Models of Semi Physical Class.- Application of Artificial Neural Network in Social Media Data Analysis: A Case of Lodging Business in Philadelphia.- Sentiment Analysis on Morphologically Rich Languages - An Artificial Neural Network (ANN) Approach.- Predicting Stock Price Movements with News Sentiment: An Artificial Neural Networks Approach.- Modelling Mode Choice of Individual In Linked Trips with Artificial Neural Networks and Fuzzy Representation.- Artificial Neural Network (ANN) Pricing Model for Natural Rubber Products Based on Climate Dependencies.- A Hybrid Artificial Neural Network (ANN) Approach to Spatial and Non-Spatial Attribute Data Mining: A Case Study Experience.

Intelligent Systems II: Complete Approximation by Neural Network Operators

Автор: George A. Anastassiou
Название: Intelligent Systems II: Complete Approximation by Neural Network Operators
ISBN: 3319205048 ISBN-13(EAN): 9783319205045
Издательство: Springer
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Цена: 26122.00 р.
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Описание: This monograph is the continuation and completion of the monograph, "Intelligent Systems: Approximation by Artificial Neural Networks" written by the same author and published 2011 by Springer.The book you hold in hand presents the complete recent and original work of the author in approximation by neural networks.

Neural Network Learning

Автор: Anthony
Название: Neural Network Learning
ISBN: 052157353X ISBN-13(EAN): 9780521573535
Издательство: Cambridge Academ
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Цена: 18850.00 р.
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Описание: This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.

Neural Network Data Analysis Using Simulnet™

Автор: Edward J. Rzempoluck
Название: Neural Network Data Analysis Using Simulnet™
ISBN: 0387982558 ISBN-13(EAN): 9780387982557
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Presents an introduction to the analysis of data using neural networks. This book discusses neural network functions such as multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalized regression neural networks, learning quantizer networks, and self-organizing feature maps.

Neural Network Parallel Computing

Автор: Yoshiyasu Takefuji
Название: Neural Network Parallel Computing
ISBN: 079239190X ISBN-13(EAN): 9780792391906
Издательство: Springer
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Цена: 28734.00 р.
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Описание: Demonstrates the computational power of neural network computing by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight`s tour, spare allocation, sorting and searching, and tiling.

Neural Network Applications

Автор: J.G. Taylor
Название: Neural Network Applications
ISBN: 3540197729 ISBN-13(EAN): 9783540197720
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Neural Network Applications contains the 12 papers presented at the second British Neural Network Society Meeting (NCM `91) held at King`s College London on 1st October 1991. The meeting was sponsored by the Centre for Neural Networks, King`s College, and the British Neural Network Society, and was also part of the DEANNA ESPRIT programme.

Neural Network Dynamics

Автор: J.G. Taylor; E.R. Caianiello; R.M.J. Cotterill; J.
Название: Neural Network Dynamics
ISBN: 3540197710 ISBN-13(EAN): 9783540197713
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The proceedings of a workshop which encompassed a range of topics in which neural networks played a fundamental role. Attempting to bridge the gap between neural computation and computational neuroscience, the papers describe the foundations of neural network dynamics and their applications.

Neural network learning

Автор: Anthony, Martin Bartlett, Peter
Название: Neural network learning
ISBN: 052111862X ISBN-13(EAN): 9780521118620
Издательство: Cambridge Academ
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Цена: 7602.00 р.
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Описание: This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.


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