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BP neural network prediction model

Research on the forecasting model of China’s rare earth export prices based on BP neural network

Research on the forecasting model of China’s rare earth export prices based on BP neural network

... the neural network includes 5 neurons in the input layer and 1 neuron in the output ...the network learning ability. If the number is too small, the network can not sufficiently study the ...

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Reliability Prediction of Power Communication Network Based on BP Neural Network Optimized by Genetic Algorithm

Reliability Prediction of Power Communication Network Based on BP Neural Network Optimized by Genetic Algorithm

... communication network is a communication network which serves the power ...communication network. However, the current research on the power communication network lag, the reliability of the ...

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A Prediction Method of Charging Station Planning Based on BP Neural Network

A Prediction Method of Charging Station Planning Based on BP Neural Network

... capacity prediction are most part in the planning and its problems are generally regarded as an optimization ...estimation model and introduces a multi-objective planning model, which takes into ...

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Hybrid improved empirical mode decomposition and BP neural network model for the prediction of sea surface temperature

Hybrid improved empirical mode decomposition and BP neural network model for the prediction of sea surface temperature

... the prediction ability of BP neural network, the following experiments were carried out: predicting SSTA re- sults in 2017 and analyzing the prediction abilities of dif- ferent mode ...

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Fault Diagnosis of Electronic Circuits Based on Matlab

Fault Diagnosis of Electronic Circuits Based on Matlab

... the model of the inverter in Matlab / Simulink environment and simulate the fault of the inverter, and then collect the corresponding fault ...Finally, BP neural network was trained by using ...

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BP neural network based shot putters performance prediction research

BP neural network based shot putters performance prediction research

... needs BP neural network model to explore their mutual relations, so it forms into neural network model, after relative training, only input sports performance ...

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BP neural network based sports performance prediction model applied research

BP neural network based sports performance prediction model applied research

... use neural network algorithms’ relative strong self fault-tolerant ability and self-training learning ability as well as other good advantages to construct BP neural network ...

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Application of artificial bee colony algorithm to select architecture of a optimal neural network for the prediction of rolling force in hot strip rolling process

Application of artificial bee colony algorithm to select architecture of a optimal neural network for the prediction of rolling force in hot strip rolling process

... a prediction method based on the Artificial Bee Colony algorithm and BP neural network, which was developed in order to improve the prediction of rolling force in hot strip rolling ...

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Wind power interval prediction utilizing SOM BP artificial neural network

Wind power interval prediction utilizing SOM BP artificial neural network

... map neural network (SOM) is a classical neural network widely used in clustering, it is an unsupervised learning neural network model and proposed by Kohonen [26, ...logic ...

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Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm

Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm

... artificial neural network is widely used in solving complex nonlinear problems, the researchers also proposed some neural network prediction model based on the price of petroleum ...

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STUDIES ON IMPROVING TEXTURE SEGMENTATION PERFORMANCE USING GENERALIZED GAUSSIAN 
MIXTURE MODEL INTEGRATING DCT AND LBP

STUDIES ON IMPROVING TEXTURE SEGMENTATION PERFORMANCE USING GENERALIZED GAUSSIAN MIXTURE MODEL INTEGRATING DCT AND LBP

... Defect Prediction (SDP) focuses on the detection of system modules such as files, methods, classes, components and so on which could potentially consist of a great amount of ...years, Neural Networks (NN) ...

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NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML 
BEHAVIORAL DESIGN

NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN

... the prediction ability of combined model based on BP neural network, the information is gathered to established BP neural network ...The BP neural ...

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The Color Model of Rice Leaf Based on SVM and BP Neural Network

The Color Model of Rice Leaf Based on SVM and BP Neural Network

... the prediction of SVM model and BP neural network model is ...nor BP neural network prediction on B value is ...

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Prediction of Tool Life in Digital Workshop Based on Particle Swarm Optimized BP Neural Network Algorithm

Prediction of Tool Life in Digital Workshop Based on Particle Swarm Optimized BP Neural Network Algorithm

... Taking the tool life prediction in the cutting process as an example, the YT1_5 carbide disc cutter is selected as the tool life prediction object. The influencing factors of milling cutter diameter, number ...

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Prediction of Railway Passenger Traffic Volume based on Grey BP Neural Network

Prediction of Railway Passenger Traffic Volume based on Grey BP Neural Network

... gray prediction model requires less data and can perform predictive analysis under the condition of “small data and poor ...gray prediction is not accurate for long- term prediction, and ...

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Prediction Research of Heating Load in Residential Area Based on BP Neural Network

Prediction Research of Heating Load in Residential Area Based on BP Neural Network

... the prediction methods of heat load mainly include energy consumption simulation prediction method [2] , gray prediction method, time series method, and regression analysis ...grey prediction ...

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Fault Prediction of Elevator Door System Based on PSO BP Neural Network

Fault Prediction of Elevator Door System Based on PSO BP Neural Network

... tion model. There were 8 reasons for the failure, used them as input. A model based on particle swarm optimization (PSO) and BP neural network was established, using MATLAB to ...

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Forecast of Total Energy Consumption in Shandong Province Based on Grey BP Model

Forecast of Total Energy Consumption in Shandong Province Based on Grey BP Model

... [7] Zeng Bo, Meng Wei, Liu Sifeng, Li Chuan, Cui Jie. Grey heterogeneous data prediction modeling method for disaster emergency material demand [J]. Chinese Journal of XuXingjun, Yan Gangfeng. Analysis of stock ...

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A Trust Evaluation Model for Social Commerce Based on BP Neural Network

A Trust Evaluation Model for Social Commerce Based on BP Neural Network

... cloud model, grey clustering evaluation method and BP neural network evaluation method ...built network trust evaluation models of e-commerce based on P2P network and ...

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Predicting stock price based on BP neural network model

Predicting stock price based on BP neural network model

... a prediction model based on BP neural network is ...established. BP is used to train stock descriptors to predict stock prices for the first 30 trading days in early ...the ...

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