TY  - CHAP
AU  - Ma. del Rosario Martinez-Blanco
AU  - Víctor Hugo Castañeda-Miranda
AU  - 
Gerardo Ornelas-Vargas
AU  - Héctor Alonso Guerrero-Osuna
AU  - Luis
Octavio Solis-Sanchez
AU  - Rodrigo Castañeda-Miranda
AU  - José María
Celaya-Padilla
AU  - Carlos Eric Galvan-Tejada
AU  - Jorge Isaac Galvan-Tejada
AU  - 
Héctor René Vega-Carrillo
AU  - Margarita Martínez-Fierro
AU  - Idalia Garza-
Veloz
AU  - Jose Manuel Ortiz-Rodriguez
ED  - Joao Luis G. Rosa
Y1  - 2016-10-19
PY  - 2016
T1  - Generalized Regression Neural Networks with Application in Neutron Spectrometry
N2  - The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models.
This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.
BT  - Artificial Neural Networks
SP  - Ch. 3
UR  - https://doi.org/10.5772/64047
DO  - 10.5772/64047
SN  - 978-953-51-2705-5
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -