Ebook: New Developments in Artificial Neural Networks Research

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.Preface
A Neural Network Based Visual Servo System: Learning Visual Kinematics of a Scene
Prediction of Mechanical Properties of Polypropylene/WGRT Composites via Uniform Design and Artificial Neural Networks
Modeling of Computer-Assisted Learning using Artificial Neural Networks
Prediction of Hole Quality in Drilling GFRE using Artificial Neural Networks
Performance Analysis of Liquid Desiccant Dehumidification System using Artificial Neural Networks
Application of the Artificial Neural Networks on Visually Guided Robot
ANN-Based Approaches to Study the Nanoscale CMOS Devices
Artificial Neural Networks in Chromatography and Spectroscopy
A New Candidate List Strategy for Architecture Selection in Artificial Neural Networks
Artificial Neural Network Based Estimation of Global and Diffuse Fraction of Solar Radiation using Meteorological Parameters
Effects of Micro Pore Characteristics on Strength of Cement Mortar using Artificial Neural Network
Tracing the Drainage Divide: The Future Challenge for Predictive Medicine
Artificial Neural Network (ANN) Prediction of a Full-Scale Municipal Wastewater Treatment Plant Performance
Positioning Control of an Under-Actuated Robot Manipulator Using Artificial Neural Network Inversion Technique
Nonlinear Forecasting with a Hybrid Approach Combining SARIMA, ARCH and ANN
Towards a Formalization of Evolving Connectionist Systems
Learning with Heterogeneous Neural Networks
Tuning Differential Evolution for Artificial Neural Networks
Artificial 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 Networks
Index