Artificial Neural Network Modelling by Subana Shanmuganathan: New

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Book Title
Artificial Neural Network Modelling
Publication Date
2016-02-12
Pages
472
ISBN
9783319284934
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319284932
ISBN-13
9783319284934
eBay Product ID (ePID)
219092961

Product Key Features

Number of Pages
VII, 472 Pages
Publication Name
Artificial Neural Network Modelling
Language
English
Subject
Engineering (General), Intelligence (Ai) & Semantics, Neural Networks
Publication Year
2016
Type
Textbook
Author
Sandhya Samarasinghe
Subject Area
Computers, Technology & Engineering
Series
Studies in Computational Intelligence Ser.
Format
Hardcover

Dimensions

Item Weight
296.1 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Series Volume Number
628
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.32
Table Of Content
ArtificialNeural Networks Applications: An Introduction.- Order in the Black Box: ConsistencyAnd Robustness Of Neuron Activation Of Feed Forward Neural Networks And Its UseIn Efficient Optimization Of Network Structure.- ArtificialNeural Networks as Models of Robustness in Development And Regeneration: Stabilityof Memory During Morphological Remodeling.- A StructureOptimization Algorithm of Neural Networks For Pattern Learning from EducationalData.- StochasticNeural Networks for Modelling Random Processes from Observed Data.- Curvelet Interaction with ArtificialNeural Networks.- Hybrid WaveletNeural Network Approaches.-Quantification ofPrediction Uncertainty in Artificial Neural Network Models.- Classifying CalpainInhibitors for The Treatment of Cataracts: A Self Organising Map (SOM) ANN/KM Approachin Drug Discovery.- Improved Ultrasound Based Computer Aided Diagnosis System for BreastCancer Using Neural Networks Incorporating a NovelEffective Feature - Degree of Central Regularity of Mass.-SOM Clusteringand Modelling of Australian Railway Drivers' Sleep, Wake, Duty Profiles.- A NeuralApproach to Electricity Demand Forecasting.- Development of ArtificialIntelligence Based Regional Flood Estimation Techniques for Eastern Australia.- Artificial NeuralNetworks in Precipitation Nowcasting: An Australian Case Study.- Construction ofPmx Concentration Surfaces Using Neural Evolutionary Fuzzy Models of SemiPhysical Class.- Application of ArtificialNeural Network in Social Media Data Analysis: A Case of Lodging Business in Philadelphia.- Sentiment Analysison Morphologically Rich Languages - An Artificial Neural Network (ANN) Approach.- Predicting StockPrice Movements with News Sentiment: An Artificial Neural Networks Approach.- Modelling ModeChoice of Individual In Linked Trips with Artificial Neural Networks and FuzzyRepresentation.- ArtificialNeural Network (ANN) Pricing Model for Natural Rubber Products Based on ClimateDependencies.- A Hybrid ArtificialNeural Network (ANN) Approach to Spatial and Non-Spatial Attribute Data Mining:A Case Study Experience.
Synopsis
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 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., This book covers theoretical aspects as well as recent innovativeapplications of Artificial Neural networks (ANNs) in natural, environmental,biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, largeand complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological andEnvironmental Systems and 3) Advancesin Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchersin ANN computational modelling.
LC Classification Number
Q342

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