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020 _a9783319284958
_9978-3-319-28495-8
024 7 _a10.1007/978-3-319-28495-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aArtificial Neural Network Modelling
_h[electronic resource] /
_cedited by Subana Shanmuganathan, Sandhya Samarasinghe.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aVII, 472 p. 187 illus., 124 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v628
505 0 _aArtificial 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.
520 _a 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. .
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aShanmuganathan, Subana.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_963454
700 1 _aSamarasinghe, Sandhya.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_963455
710 2 _aSpringerLink (Online service)
_963456
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319284934
776 0 8 _iPrinted edition:
_z9783319284941
776 0 8 _iPrinted edition:
_z9783319803630
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v628
_963457
856 4 0 _uhttps://doi.org/10.1007/978-3-319-28495-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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