Focus on Artificial Neural Networks


Editor: John A. Flores

Series: Mathematics Research Developments

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 pharmaceutical 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.

ISBN: N/A Categories: ,

Table of Contents


Application of Artificial Neural Networks (ANNs) in Development of Pharmaceutical Microemulsions;pp. 1-28
(Ljiljana Djekic, Svetlana Ibric, Marija Primorac, Department of Pharmaceutical Technology and Cosmetology, Faculty of Pharmacy, Vojvode Stepe, Belgrade, Serbia and Montenegro)

Investigations of Application of Artificial Neural Network for Flow Shop Scheduling Problems;pp. 29-53
(T. Radha Ramanan, National Institute of Technology Calicut, Calicut, Kerala, India)

Artificial Neural Networks in Environmental Sciences and Chemical Engineering;pp. 55-74
(F.G. Martins, D.J.D. Gonçalves, M.J. Peres, LEPAE, Departamento de Engenharia Química, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal)

Establishing Productivity Indices for Wheat in the Argentine Pampas by an Artificial Neural Network Approach;pp. 75-95
(R. Alvarez, J. De Paepe, Facultad de Agronomía, Universidad de Buenos Aires-CONICET, Buenos Aires, Argentina)

Design of Artificial Neural Network Predictors in Mechanical Systems Problems;pp. 97-127
(İkbal Eski, Eyüp Sabri Topal, Şahin Yildirim, Mechatronics Engineering Department, Engineering Faculty, Erciyes University, Kayseri, Turkey)

Massive-Training Artificial Neural Networks for Supervised Enhancement/Suppression of Lesions/Patterns in Medical Images;pp. 129-150
(Kenji Suzuki, Department of Radiology, Division of the Biological Sciences, The University of Chicago, Chicago, Illinois, USA)

An Inverse Neu;pp. 151-170
(Dragan Aleksendrić, University of Belgrade, Faculty of Mechanical Engineering, Serbia)

Artificial Neural Networks: Definition, Properties and Misuses;pp. 171-189
(Erkam Guresen, Gulgun Kayakutlu, Okan University, Department of Business Administration, Turkey, and others)

Evidences of New Biophysical Properties of Microtubules;pp. 191-207
(Rita Pizzi, Giuliano Strini, Silvia Fiorentini, Valeria Pappalardo, Massimo Pregnolato, Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Crema, Italy, and others)

Forecasting Stream Temperature Using Adaptive Neuron-Fuzzy Logic and Artificial Neural Network Models;pp. 209-229
(Goloka Behari Sahoo, University of California at Davis, Department of Civil and Environmental Engineering, and Tahoe Environmental Research Center, Davis, California, USA)

Neural Network Applications in Modern Induction Machine Control Systems;pp. 231-256
(Dinko Vukadinović, Mateo Bašić, University in Split, Faculty of Electrical Engineering Mechanical Engineering and Naval, Architecture, Croatia)

Wavelet Neural Networks: A Recent Strategy for Processing Complex Signals: Applications to Chemistry;pp. 257-275
(Juan Manuel Gutiérrez, Roberto Muñoz, Manel del Valle, Sensors & Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Bellaterra, Spain, and others)

Robustness Verification of Artificial Neural Network Predictors in a Purpose-Built Data Compression Scheme;pp. 277-297
(Rajasvaran Logeswaran, Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia)

Intelligent Inverse Kinematics Solution for Serial Manipulators Passing through Singular Configurations with Performance Prediction Network;pp. 299-322
(Ali T. Hasan, H.M.A.A.Al-Assadi, Department of Mechanical and Manufacturing Engineering, University Putra Malaysia, Serdang, Selangor, Malaysia, and others)

Using Artificial Neural Networks for Continuously Decreasing Time Series Data Forecasting;pp. 323-340
(Mebruk Mohammed, Kunio Watanabe, Shinji Takeuchi, Geosphere Research Institute of Saitama University, Shimo Okubo, Sakura-Ku, Saitama, Japan, and others)

Application of Artificial Neural Networks in Enzyme Technology;pp. 341-353
(Mohd Basyaruddin Abdul Rahman, Naz Chaibakhsh, Mahiran Basri, Abu Bakar Salleh, Department of Chemistry, Faculty of Science, Serdang, Universiti Putra Malaysia, Selangor, Malaysia, and others)

Development of an ANN Model for Runoff Prediction;pp. 355-374
(A.Bandyopadhyay, A. Bhadra, Department of Agricultural Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Itanagar, Arunachal Pradesh, India)

Artificial Neural Networks Concept: Tools to Simulate, Predict and Control Processes;pp. 375-397
(Abdoul-Fatah Kanta, Service de Science des Matériaux, Université de Mons, Mons, Belgique)


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