Preface

Chapter 6 93

Chapter 7 105

Chapter 8 117

Prediction of Wave Energy Potential in India: A Fuzzy-ANN

Deep Learning Training and Benchmarks for Earth Observation

by Mihai Datcu, Gottfried Schwarz and Corneliu Octavian Dumitru

Data Mining Technology for Structural Control Systems: Concept,

by Meisam Gordan, Zubaidah Ismail, Zainah Ibrahim and

by Soumya Ghosh and Mrinmoy Majumder

Images: Data Sets, Features, and Procedures

Development, and Comparison

Huzaifa Hashim

II

Approach

In recent years, applications and utilization of artificial neural networks (ANNs) have increased drastically. Applications range from prediction of wave energy potential, object recognition, biochemical systems, earth observation images, structural control systems, forecasting crime patterns, time series problems, and training electric transmission network.

In this book, ANNs and applicable nature of ANNs and its importance are highlighted by explaining different aspects of ANNs. This book starts with time series problems, describing models and an application for clustering, and then proceeds with the usage of metaheuristic optimization methods for reducing error level a given network. The book ends with some real-life and practical applications of ANNs to various fields of studies from energy saving to structural control systems.

I would like to thank all the authors and scholars for their precious contributions to this book. Special thanks go to Intech Open and Author Service Manager Mr. Gordan Tot for their support and patience.

> Ali Sadollah, PhD Department of Mechanical Engineering, University of Science and Culture, Tehran, Iran

Carlos M. Travieso-Gonzalez University of Las Palmas de Gran Canaria, Spain

Section 1

Time Series and Artificial

Neural Networks

1

Section 1
