New Developments in Artificial Neural Networks Research

Description

Nova Publishers, 2011. — 341 p.This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a neural network based visual servo system; modeling of computer-assisted learning using artificial neural networks; prediction of hole quality in drilling GFRE using artificial neural networks; ANN-based approaches to study the nanoscale CMOS devices; artificial neural networks in chromatography and spectroscopy; heterogeneous neural networks and tuning differential evolution for artificial neural networks.PrefaceA Neural Network Based Visual Servo System: Learning Visual Kinematics of a ScenePrediction of Mechanical Properties of Polypropylene/WGRT Composites via Uniform Design and Artificial Neural NetworksModeling of Computer-Assisted Learning using Artificial Neural NetworksPrediction of Hole Quality in Drilling GFRE using Artificial Neural NetworksPerformance Analysis of Liquid Desiccant Dehumidification System using Artificial Neural NetworksApplication of the Artificial Neural Networks on Visually Guided RobotANN-Based Approaches to Study the Nanoscale CMOS DevicesArtificial Neural Networks in Chromatography and SpectroscopyA New Candidate List Strategy for Architecture Selection in Artificial Neural NetworksArtificial Neural Network Based Estimation of Global and Diffuse Fraction of Solar Radiation using Meteorological ParametersEffects of Micro Pore Characteristics on Strength of Cement Mortar using Artificial Neural NetworkTracing the Drainage Divide: The Future Challenge for Predictive MedicineArtificial Neural Network (ANN) Prediction of a Full-Scale Municipal Wastewater Treatment Plant PerformancePositioning Control of an Under-Actuated Robot Manipulator Using Artificial Neural Network Inversion TechniqueNonlinear Forecasting with a Hybrid Approach Combining SARIMA, ARCH and ANNTowards a Formalization of Evolving Connectionist SystemsLearning with Heterogeneous Neural NetworksTuning Differential Evolution for Artificial Neural NetworksArtificial Neural networks: A Chemist’s Perspective in Modeling and design of Human Immunodeficiency Virus-1 (HIV-1) Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs)Pricing in Banking and Finance by Utilizing Artificial Neural NetworksIndex