Artificial Neural Network Modelling [Paperback]

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.    

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 Novel Effective Feature -  Degree of Central Regularity of Mass.-SOM Clusteringand Modelling of Australian Railway Drivers Sleep, Wake, Duty Profiles.- A NeuralApproach to Electricity Demand Forecasting.- Developlƒ±