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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Journal ArticleDOI
Predicting Depression Levels using Back Propagation Neural Network
TL;DR: In this article , a Back Propagation Neural Network (BPNN) model is proposed to predict whether a person is categorized as mild, moderate, or severe depression based on Beck's Depression Inventory (BDI) data.
Journal ArticleDOI
Detection of Brain Abnormalities in Parkinson’s Rats by Combining Deep Learning and Motion Tracking
Houchi Li,Quan He,Lei Wu +2 more
TL;DR: Wang et al. as discussed by the authors proposed an end-to-end deep learning model of CNN-BGRU to extract spatio-temporal information from 3D coordinate information and perform classification.
Journal ArticleDOI
Construction of Internet Financial Risk Early Warning Model Based on Data Mining Algorithm
TL;DR: In this paper , the authors found that online financial services can give full play to the innovation ability of the platform, reasonably avoid business risks, develop effective investment and financing channels for small and medium-sized enterprises, bring support and protection to the short-term growth process of SMEs, and enable investors to reduce investment difficulties.
Journal ArticleDOI
A Spatial PWV Retrieval Model over Land for GCOM-W/AMSR2 using Neural Network Method: A Case in the Western United States
TL;DR: In this paper , a microwave PWV retrieval spatial model over land using the back-propagation (BP) neural network was presented. But the model was not applied for the ocean but challenging over land.
Proceedings ArticleDOI
Optimizing the Charging Parameters of Linear Motor Flux Pump with BP Neural Network and Genetic Algorithm
TL;DR: The functional relationship between three important parameters (AC current, DC current, frequency) and charging current based on historical data is mined, and the method of BP neural network is adopted to predict an optimal charging scheme of flux pump by using the genetic algorithm to optimize theBP neural network parameters.
References
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Journal ArticleDOI
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Eysa Salajegheh,Saeed Gholizadeh +1 more
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