Book Description:
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. (Imprint: Nova)

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Table of Contents:
Preface

A Neural Network Based Visual Servo System: Learning Visual Kinematics of a Scene;pp. 1-22
(Ebrahim A. Matter Al-Gallaf, Associate Professor of Intelligent Control, Department of Electrical and Electronics Engineering, College of Engineering, University of Bahrain, Kingdom of Bahrain)

Prediction of Mechanical Properties of Polypropylene/WGRT Composites via Uniform Design and Artificial Neural Networks;pp. 23-39
(Shu Ling Zhang, Kaushik Pal, Jin Kuk Kim, Alan G. MacDiarmid Lab, College of Chemistry, Jilin University, Changchun, People’s Republic of China, and others)

Modeling of Computer-Assisted Learning using Artificial Neural Networks;pp. 41-57
(Fahad A. Al-Zahrani, Hassan. M. Mustafa, Ayoub Al-Hamadi, U. A. Khashaba, Department of Production Engineering & Mechanical Systems Design, Faculty of Engineering King Abdul Aziz University, Jeddah, KSA, and others)

Prediction of Hole Quality in Drilling GFRE using Artificial Neural Networks;pp. 59-76
(U.A. Khashaba, I.A. El-Sonbaty, A.I. Selmy, A.A. Megahed, Department of Production Engineering & Mechanical Systems Design, Faculty of Engineering, King Abdul Aziz University, Jeddah, KSA and others)

Performance Analysis of Liquid Desiccant Dehumidification System using Artificial Neural Networks;pp. 77-90
(P. Gandhidasan, M.A. Mohandes, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia)

Application of the Artificial Neural Networks on Visually Guided Robot;pp. 91-107
(Emregul Ersan, Vedat Topuz, Ayca Gokhan Ak, Zeytinburnu Industrial Vocational School Zeytinburnu, Istanbul, Turkey, and others)

ANN-Based Approaches to Study the Nanoscale CMOS Devices;pp. 109-122
(F. Djeffal, T. Bendib, LEA, Department of Electronics, University of Batna, Batna, Algeria)

Artificial Neural Networks in Chromatography and Spectroscopy;pp. 123-138
(Iva Rezić, Tomislav Rolich, Laboratory of Analytical Chemistry, Department of Applied Chemistry, Faculty of Textile Technology, University of Zagreb, Croatia, and others)

A New Candidate List Strategy for Architecture Selection in Artificial Neural Networks;pp. 139-150
(Cagdas Hakan Aladag, Department of Statistics, Hacettepe University, Ankara, Turkey)

Artificial Neural Network Based Estimation of Global and Diffuse Fraction of Solar Radiation using Meteorological Parameters;pp. 151-167
(Shafiqur Rehman, Mohamed Mohandes, Engineering Analysis Section, Center for Engineering Research, Research Institute, King Fahd University of Petroleum and Minerals, Saudi Arabia)

Effects of Micro Pore Characteristics on Strength of Cement Mortar using Artificial Neural Network;pp. 169-179
(Ali Ugur Ozturk, Okan Onal, Department of Civil Engineering, Faculty of Engineering, Celal Bayar University, Manisa, Turkey, and others)

Tracing the Drainage Divide: The Future Challenge for Predictive Medicine;pp. 181-192
(Enzo Grossi, Medical Department, Bracco SpA Milan, Italy)

Artificial Neural Network (ANN) Prediction of a Full-Scale Municipal Wastewater Treatment Plant Performance;pp. 193-205
(Erkan Sahinkaya, Sibel Pulcu Yıldız, Harran University, Environmental Engineering Department, Osmanbey Campus, Sanliurfa, Turkey)

Positioning Control of an Under-Actuated Robot Manipulator Using Artificial Neural Network Inversion Technique;pp. 207-219
(Ahmad Azlan Mat Isa, H.M.A.A. Al-Assadi, Ali T. Hasan, Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia and others)

Nonlinear Forecasting with a Hybrid Approach Combining SARIMA, ARCH
and ANN;pp. 221-228
(Erol Egrioglu, Cagdas Hakan Aladag, Cern Kadilar, Department of Statistics, Ondokuz Mayis University, Samsun, Turkey, and others)

Towards a Formalization of Evolving Connectionist Systems;pp. 229-256
(Michael J. Watts, School of Earth and Environmental Sciences, University of Adelaide, SA, Australia)


Learning with Heterogeneous Neural Networks;pp. 257-276
(Lluis A. Belanche-Munoz, Department of Software, Technical University of Catalonia, Jordi Girona, Barcelona, Spain)

Tuning Differential Evolution for Artificial Neural Networks;pp. 277-294
(Magnus Erik Hvass Pedersen, Andrew John Chipperfield, Hvass Laboratories, Copenhagen, Denmark)

Artificial Neural networks: A Chemist’s Perspective in Modeling and design of Human Immunodeficiency Virus-1 (HIV-1) Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs);pp. 295-315
(Nitin S. Sapre, Swagata Gupta, Nilanjana Pancholi and Neelima Sapre, Department of Applied Chemistry, Shri G.S. Institute of Technology and Sciences, Indore, MP, India, Pin 452001, and others)

Pricing in Banking and Finance by Utilizing Artificial Neural Networks;pp. 317-329
(Vincenzo Pacelli Ph. D. - University of Rome “La Sapienza”, Tenured Assistant Professor of Economics of Financial Intermediaries, University of Foggia, Faculty of Economics, Via Caggese, 1 - 71100 - Foggia - Italy)

Index