TY - CHAP AU - José Manuel Ortiz-Rodríguez AU - Ma. del Rosario Martínez-Blanco AU - José Manuel Cervantes Viramontes AU - Héctor René Vega-Carrillo ED - Kenji Suzuki Y1 - 2013-01-16 PY - 2013 T1 - Robust Design of Artificial Neural Networks Methodology in Neutron Spectrometry N2 - Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks. The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies. BT - Artificial Neural Networks SP - Ch. 4 UR - https://doi.org/10.5772/51274 DO - 10.5772/51274 SN - PB - IntechOpen CY - Rijeka Y2 - 2024-03-29 ER -