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Focus on Artificial Neural Networks

Editat de John A. Flores
en Limba Engleză Hardback – 31 dec 2010
This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development of pharamceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images; evidences of new biophysical properties of microtubules; neural network applications in modern induction machine control systems and wavelet neural networks.
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Specificații

ISBN-13: 9781613242858
ISBN-10: 1613242859
Pagini: 410
Ilustrații: tables & charts
Dimensiuni: 181 x 256 x 29 mm
Greutate: 0.91 kg
Ediția:New.
Editura: Nova Science Publishers Inc

Cuprins

Preface; Application of Artificial Neural Networks (ANNs) in Development of Pharmaceutical Microemulsions; Investigations of Application of Artificial Neural Network for Flow Shop Scheduling Problems; Artificial Neural Networks in Environmental Sciences & Chemical Engineering; Establishing Productivity Indices for Wheat in the Argentine Pampas by an Artificial Neural Network Approach; Design of Artificial Neural Network Predictors in Mechanical Systems Problems; Massive-Training Artificial Neural Networks for Supervised Enhancement/Suppression of Lesions/Patterns in Medical Images; An Inverse Neu; Artificial Neural Networks: Definition, Properties & Misuses; Evidences of New Biophysical Properties of Microtubules; Forecasting Stream Temperature Using Adaptive Neuron-Fuzzy Logic & Artificial Neural Network Models; Neural Network Applications in Modern Induction Machine Control Systems; Wavelet Neural Networks: A Recent Strategy for Processing Complex Signals: Applications to Chemistry; Robustness Verification of Artificial Neural Network Predictors in a Purpose-Built Data Compression Scheme; Intelligent Inverse Kinematics Solution for Serial Manipulators Passing through Singular Configurations with Performance Prediction Network; Using Artificial Neural Networks for Continuously Decreasing Time Series Data Forecasting; Application of Artificial Neural Networks in Enzyme Technology; Development of an ANN Model for Runoff Prediction; Artificial Neural Networks Concept: Tools to Simulate, Predict & Control Processes; Index.