Research on Neural Networks Used in Parallel Computing

Liang Cheng

doi:10.4028/www.scientific.net/AMM.411-414.1998

Paper Titles

The Realization of Genetic Algorithm in Terms of Checkers Evaluation Function
p.1979

Training Neural Networks by Continued Fractional Weight Functions
p.1986

The Complexity Analysis for Game Map Based on the Summation of XOR
p.1990

A Map Complexity Measure Based on Contact Surface
p.1994

Research on Neural Networks Used in Parallel Computing
p.1998

An AHP-Based Fuzzy Approach for Evaluation of Index System on Coordinated Development of Ethnic Regions in China
p.2002

A Negative Selection Algorithm Base on the Self R-Tree
p.2007

The Algorithm Animation of Genetic Algorithm of Travelling Salesman Problem
p.2013

A New Multiple Intelligent Agents Reasoning Model Based on Fluent Calculus
p.2017

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Research on Neural Networks Used in Parallel...

Research on Neural Networks Used in Parallel Computing

Abstract:

The parallel programming approaches were in the focus of research efforts due to an expected increase in efficiency of iterative processing in the parallel computational environment. On this end the parallel evolutionary asymmetric subset-hood product fuzzy-neural inference system has been developed to take advantage of parallelization in message passing. This paper study the structure of the neural network and the time series forecasting with neural network, the results could help us to obtain the optimal solutions to higher complexity of the problem.