Research on the Development and Applications of Artificial Neural Networks

Abstract:

Intelligent control is a class of control techniques that use various AI computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms. In computer science and related fields, artificial neural networks are computational models inspired by animals’ central nervous systems (in particular the brain) that are capable of machine learning and pattern recognition. They are usually presented as systems of interconnected “neurons” that can compute values from inputs by feeding information through the network. Like other machine learning methods, neural networks have been used to solve a wide variety of tasks that are hard to solve using ordinary rule-based programming, including computer vision and speech recognition.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 6011-6014
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.6011
• Online since: May 2014
• Authors: Xiao Guang Li*
• Keywords: Application, Artificial Neural Network (ANN), Intelligent Control

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