A fuzzy control model based on BP neural network arithmetic for optimal control of smart city facilities

This paper introduces a method of constructing the control model of automatic windshield wiper based on BP neural network. A model of pattern recognition based on BP neural network is built and train it with specialists’ experience data, and then tested it. The result indicates that this model based on BP neural network is effective to handle uncertainties and nonlinearities of the automatic windshield wiper system, without use of a sophisticated mathematical model.

Download Full-text

Traffic signal light control model based on evolutionary programming algorithm optimization BP neural network

2017 7th IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC) ◽

10.1109/iceiec.2017.8076629 ◽

2017 ◽

Cited By ~ 1

Author(s):

Linying Jiang ◽

Yachen Li ◽

Yuanlong Liu ◽

Chao Chen

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Evolutionary Programming ◽

Control Model ◽

Traffic Signal ◽

Programming Algorithm ◽

Light Control ◽

Algorithm Optimization ◽

Model Based ◽

Signal Light

Download Full-text

Hierarchical Prediction Model Based on BP Neural Network for Predicting CO/CO2in Iron Ore Sintering Process

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8482610 ◽

2018 ◽

Author(s):

Ben Xu ◽

Xin Chen ◽

Yang Zhou

Keyword(s):

Neural Network ◽

Prediction Model ◽

Bp Neural Network ◽

Iron Ore ◽

Sintering Process ◽

Iron Ore Sintering ◽

Model Based ◽

Iron Ore Sintering Process ◽

Ore Sintering

Download Full-text

Short-term Photovoltaic Power Forecasting Model Based on Improved BP Neural Network Method

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) ◽

10.1109/ei250167.2020.9346675 ◽

2020 ◽

Author(s):

Yuan Peng ◽

Suhua Lou ◽

Senlin Yang ◽

Yaowu Wu ◽

Xianglu He ◽

...

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Forecasting Model ◽

Short Term ◽

Neural Network Method ◽

Model Based ◽

Photovoltaic Power ◽

Network Method ◽

Power Forecasting

Download Full-text

Hybrid prediction model based on BP neural network for lung cancer

2008 IEEE International Symposium on IT in Medicine and Education ◽

10.1109/itme.2008.4743921 ◽

2008 ◽

Author(s):

Aobing Sun ◽

Yubo Tan ◽

Dexian Zhang

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Prediction Model ◽

Bp Neural Network ◽

Hybrid Prediction ◽

Model Based

Download Full-text

Pricing Model Based on BP Neural Network and Nonlinear Programming

2020 IEEE 6th International Conference on Computer and Communications (ICCC) ◽

10.1109/iccc51575.2020.9345112 ◽

2020 ◽

Author(s):

Rui Zhao ◽

Likun Lu ◽

Qingtao Zeng

Keyword(s):

Neural Network ◽

Nonlinear Programming ◽

Bp Neural Network ◽

Pricing Model ◽

Model Based

Download Full-text

The Research of Railway Passenger Flow Prediction Model Based on BP Neural Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.605-607.2366 ◽

2012 ◽

Vol 605-607 ◽

pp. 2366-2369 ◽

Cited By ~ 2

Author(s):

Yao Wang ◽

Dan Zheng ◽

Shi Min Luo ◽

Dong Ming Zhan ◽

Peng Nie

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Forecast Model ◽

Good Effect ◽

Passenger Flow ◽

Model Based ◽

Flow Prediction ◽

Transport Organization ◽

Railway Passenger ◽

Short Time

Based on analyzing the principle of BP neural network and time sequence characteristics of railway passenger flow, the forecast model of railway short-term passenger flow based on BP neural network was established. This paper mainly researches on fluctuation characteristics and short-time forecast of holiday passenger flow. Through analysis of passenger flow and then be used in passenger flow forecasting in order to guide the transport organization program especially the train plan of extra passenger train. And the result shows the forecast model based on BP neural network has a good effect on railway passenger flow prediction.

Download Full-text