Sports Action Recognition Based on GB-BP Neural Network and Big Data Analysis

In recent years, the application of the gradient boosting-back propagation (GB-BP) neural network algorithm in many industries has brought huge benefits, so how to combine the GB-BP neural network algorithm with sports has become a research hotspot. Based on this, this paper studies the application of the GB-BP neural network algorithm in wrestling, designs the sports athletes action recognition and classification model based on the GB-BP neural network algorithm, first analyzes the research status of wrestling action recognition, and then optimizes and improves the shortcomings of action recognition and big data analysis technology. The GB-BP neural network algorithm can realize the accurate recognition and classification of wrestlers’ training actions and carry out big data mining analysis with known action recognition, so as to achieve accurate classification. The experimental results show that the model can play a good role in wrestling and effectively improve the efficiency of wrestlers in training.

Download Full-text

Big data analysis of smart grid based on back-propagation neural network algorithm in Hadoop environment

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/227/3/032025 ◽

2019 ◽

Vol 227 ◽

pp. 032025

Author(s):

Linli Fan ◽

Changmao Li ◽

Zhenping Lan ◽

Li Liu

Keyword(s):

Neural Network ◽

Big Data ◽

Data Analysis ◽

Smart Grid ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Big Data Analysis ◽

Network Algorithm ◽

Neural Network Algorithm ◽

Grid Based

Download Full-text

Music Emotion Analysis Based on PSO-BP Neural Network and Big Data Analysis

Computational Intelligence and Neuroscience ◽

10.1155/2021/6592938 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Chen Xi

Keyword(s):

Neural Network ◽

Big Data ◽

Emotional Expression ◽

Bp Neural Network ◽

Influence Factors ◽

Big Data Analysis ◽

Emotion Expression ◽

Analysis Model ◽

Network Algorithm ◽

Neural Network Algorithm

The current music teaching can effectively improve students’ music emotional expression indirectly. How to use the PSO-BP neural network to realize the quantitative research of music emotional expression is the current development trend. Based on this, this paper studies the influence factors of music emotion expression based on PSO-BP neural network and big data analysis. Firstly, a music emotion expression analysis model based on PSO-BP neural network algorithm is proposed. The autocorrelation function is used to simulate the emotion expression information in music. Through the maximum value of the autocorrelation function curve in the detection process, the vocal music signal is restored, and then the emotion expressed is analyzed. Secondly, the influence factors of PSO-BP neural network algorithm in music emotion expression are analyzed. The improved PSO-BP neural network algorithm and multidimensional data model are used for comprehensive analysis to accurately analyze the emotion in music expression, and the fuzzy evaluation method and analytic hierarchy process are used for quality evaluation. Finally, the validity of the music emotion analysis model is verified by many experiments.

Download Full-text

Design of embedded factory sewage remote monitoring system based on BP neural network algorithm

Future Communication Technology ◽

10.2495/icct131362 ◽

2014 ◽

Author(s):

Fangfang Jia ◽

Along Yu ◽

Peng Ji ◽

Weiwei Yang ◽

Shiming Wang

Keyword(s):

Neural Network ◽

Monitoring System ◽

Bp Neural Network ◽

Remote Monitoring ◽

Remote Monitoring System ◽

Network Algorithm ◽

Neural Network Algorithm

Download Full-text

Modeling the SOFC by BP neural network algorithm

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2021.03.132 ◽

2021 ◽

Author(s):

Shaohui Song ◽

Xingyu Xiong ◽

Xin Wu ◽

Zhenzhong Xue

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Network Algorithm ◽

Neural Network Algorithm

Download Full-text

Electricity Price Forecasting Method Based on Quantum Immune Optimization BP Neural Network Algorithm

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) ◽

10.1109/acpee51499.2021.9436865 ◽

2021 ◽

Author(s):

Xuan Zhang ◽

Qing Hao ◽

Wenjie Qu ◽

Xingquan Ji ◽

Yumin Zhang ◽

...

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Electricity Price ◽

Price Forecasting ◽

Immune Optimization ◽

Network Algorithm ◽

Electricity Price Forecasting ◽

Forecasting Method ◽

Neural Network Algorithm

Download Full-text

Precision Power System Harmonic Analysis Algorithm Based on ABC-BPNN

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.483.630 ◽

2013 ◽

Vol 483 ◽

pp. 630-634

Author(s):

Shu Chuan Gan ◽

Ling Tang ◽

Li Cao ◽

Ying Gao Yue

Keyword(s):

Neural Network ◽

Power System ◽

Harmonic Analysis ◽

Bp Neural Network ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Optimal Solution ◽

Bee Colony ◽

Network Algorithm ◽

Neural Network Algorithm

An algorithm of artificial colony algorithm to optimize the BP neural network algorithm was presented and used to analyze the harmonics of power system. The artificial bee colony algorithm global searching ability, convergence speed for the BP neural network algorithm for harmonic analysis is easy to fall into local optimal solution of the disadvantages, and the initial weights of the artificial bee colony algorithm also greatly enhance whole algorithm model generalization capability. This algorithm using MATLAB for Artificial bee colony algorithm and BP neural network algorithm simulation training toolbox found using artificial bee colony algorithm to optimize BP neural network algorithm converges faster results with greater accuracy, with better harmonic analysis results.

Download Full-text