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
Fast Calculation of Magnetic Coordinates Using Artificial Neural Network in Jupiter’s Magnetosphere
TL;DR: A new L-shell calculation method based on the magnetic field lines tracing method and ANN (Artificial Neural Network) that is a compromise between calculation accuracy and speed is achieved.
Proceedings ArticleDOI
Study on the Filtering Method of Wind Monitoring Data in High Speed Railway: Wind monitoring data filtering for high speed railway disaster monitoring system based on BPNN
TL;DR: This paper tries to study the filtering method of wind monitoring data in high speed railway using neural network algorithm, and finds that according to the continuous learning of historical wind Monitoring data, a better neural network model can be obtained.
Proceedings ArticleDOI
Long-term time series prediction based on deep denoising recurrent temporal restricted Boltzmann machine network
TL;DR: Through the actual data simulation in the production process of the iron and steel enterprise, the comparative analysis shows that the proposed method can effectively improve the prediction accuracy and achieve satisfactory results.
Journal ArticleDOI
Dynamic characteristics and real-time control of a particle-to-sCO2 moving bed heat exchanger assisted by BP neural network
Wenchao Fang,Sheng Chen,Shuo Shi +2 more
TL;DR: In this article , the authors investigated the transient response of a particle-to-sCO 2 moving bed heat exchanger (MBHE) by a continuum model when perturbations are applied to the particle inlet temperature, sCO 2 mass flow rate, and the particle flow rate was adjusted.
Proceedings ArticleDOI
Distinction of true or fake blood based on photoacoustic spectroscopy combined with artificial intelligence algorithms
Zhong Ren,Tao Liu,Guodong Liu +2 more
TL;DR: Wang et al. as discussed by the authors used a 532nm pumped OPO pulsed laser as the excitation source, and a focused ultrasonic detector with central echo frequency of 2.5MHz was used to capture the photoacoustic signals of the blood samples.
References
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Eysa Salajegheh,Saeed Gholizadeh +1 more
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