Journal ArticleDOI
An optimizing BP neural network algorithm based on genetic algorithm
TLDR
A method that combines GA and BP to train the neural network works better; is less easily stuck in a local minimum; the trained network has a better generalization ability; and it has a good stabilization performance.Abstract:
A back-propagation (BP) neural network has good self-learning, self-adapting and generalization ability, but it may easily get stuck in a local minimum, and has a poor rate of convergence. Therefore, a method to optimize a BP algorithm based on a genetic algorithm (GA) is proposed to speed the training of BP, and to overcome BP's disadvantage of being easily stuck in a local minimum. The UCI data set is used here for experimental analysis and the experimental result shows that, compared with the BP algorithm and a method that only uses GA to learn the connection weights, our method that combines GA and BP to train the neural network works better; is less easily stuck in a local minimum; the trained network has a better generalization ability; and it has a good stabilization performance.read more
Citations
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Proceedings ArticleDOI
A Forecasting System of Micro-blog Public Opinion Based on Artificial Neural Network
TL;DR: In this article, a BP neural network was used to forecast the tendency of micro-blog public opinion using the contents of Micro-blog contents and developed a Micro-Blog public opinion trends forecasting system.
Journal ArticleDOI
A flexible 3D point reconstruction with homologous laser point array and monocular vision
TL;DR: A 3D recovery approach is achieved by the monocular vision sensor and the homologous laser point array with the arbitrary relative pose to the 2D reference, which prompts the flexibility for the on-site active-vision measurement.
Book ChapterDOI
Applying Artificial Neural Network Hadron - Hadron Collisions at LHC
Amr Radi,Samy K. Hindawi +1 more
TL;DR: High Energy Physics (HEP) targeting on particle physics, searches for the fundamental particles and forces which construct the world surrounding us and understand how our uni- verse works at its most fundamental level as mentioned in this paper.
Journal Article
Investigation on the Traffic Flow Based on Wireless Sensor Network Technologies Combined with FA-BPNN Models
TL;DR: The proposed FA-BPNN model has the best effect and the shortest running time in the traffic flow prediction and is used to improve the data fusion in WSN technologies.
References
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Journal ArticleDOI
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Journal ArticleDOI
Evolving artificial neural network ensembles
Xin Yao,Md. Monirul Islam +1 more
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Journal ArticleDOI
A review of genetic algorithms applied to training radial basis function networks
C. Harpham,W. Dawson,R. Brown +2 more
TL;DR: A brief overview of feedforward ANNs and GAs is given followed by a review of the current state of research in applying evolutionary techniques to training RBF networks.
Journal ArticleDOI
Optimum design of structures by an improved genetic algorithm using neural networks
Eysa Salajegheh,Saeed Gholizadeh +1 more
TL;DR: Using neural networks within the framework of VSP creates a robust tool for optimum design of structures and reduces the computational cost of standard GA.
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