Study on Neural Networks in Parallel Computing Environments

Yu Hu

doi:10.4028/www.scientific.net/AMM.198-199.707

Paper Titles

Genetic and Quality Identification of Alfalfa Carried by Satellite
p.688

Noise Level Prediction by Combination Sound Signal
p.692

Application of DFG Model on SOPC Technology
p.696

Quality Assessment of Jeep Front-Flank Bracket Based on Genetic Algorithm and Weibull Similarity
p.701

Study on Neural Networks in Parallel Computing Environments
p.707

Constitution of the Stationary Scene of the Traffic Testing Field of the Transportation Ministry
p.713

Research on Application of Airport Simulation System Based on 3D GIS
p.717

Research of Compensating Weights of Cascade Hydropower Stations
p.721

Research on Method of Credibility Evaluation of Simulation System Based on Mission
p.726

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199Study on Neural Networks in Parallel Computing...

Study on Neural Networks in Parallel Computing Environments

Abstract:

Neurons are highly interconnected with each other and are communicating via sending and receiving electrochemical signals, thus composing sophisticated network of interconnected and communicating neurons. This paper discuss the structure of the neural network function approximator and the time series forecasting with neural network, the results could help us to obtain the optimal solutions to higher complexity of the problem.