Modeling and Simulation of Human Muscle Tissue Development in Biomechanics Based on Wavelet Neural Network Algorithm

As we all know, the factors affecting the price of equipment are more complicated, but these factors still have a great correlation. How can we accurately predict the price of equipment? Based on the study of the tight support and smoothness of wavelet function, this paper proposes a correlation variable weight wavelet neural network algorithm to predict the price of 162 devices. The test results show that if the weight is not reduced, the predicted price is 0, and the error is still large. However, by arranging the data from small to large, the variable weighted wavelet neural network algorithm is used to predict the result closer to the auction price, which overcomes the incompatibility of the algorithm iteration and provides a reference for accurately predicting the price of the device.

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Fault diagnostic method for PV array based on improved wavelet neural network algorithm

Proceeding of the 11th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2014.7052884 ◽

2014 ◽

Cited By ~ 2

Author(s):

Xiao Li ◽

Pu Yang ◽

Jiangfan Ni ◽

Jing Zhao

Keyword(s):

Neural Network ◽

Diagnostic Method ◽

Wavelet Neural Network ◽

Pv Array ◽

Network Algorithm ◽

Neural Network Algorithm ◽

Fault Diagnostic

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Analysis of Landscape Ecological Planning Based on the High-Order Multiwavelet Neural Network Algorithm

Computational Intelligence and Neuroscience ◽

10.1155/2021/9420532 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

ChuanDong Yu ◽

Nan Du

Keyword(s):

Neural Network ◽

Landscape Ecology ◽

Wavelet Neural Network ◽

High Order ◽

Average Error ◽

Ecological Planning ◽

Network Algorithm ◽

Neural Network Algorithm ◽

Landscape Ecological Planning ◽

Landscape Ecological

Landscape architecture has both natural and social properties, which is the embodiment of people protecting the natural environment. Since the industrial revolution, the modern industry has developed rapidly. It has increased the living standard of people and consumed a lot of natural resources such as forest and energy. The ecological environment has been greatly damaged, and the landscape of gardens has been affected. Therefore, it is of great significance to find a method to evaluate the landscape ecology and plan the landscape ecology. This paper proposes a new high-order wavelet neural network algorithm combining wavelet analysis and artificial neural network. A model of ecological evaluation of landscape based on high-order wavelet neural network algorithm is proposed to evaluate the landscape ecology and provide reference data for the ecological planning of the landscape. The results show that the training times of the wavelet neural network to achieve the target accuracy are 3600 times less than those of the BP neural network. The MSE and MAE of the WNN are 0.0639 and 0.1501, respectively. The average error of the model to the comprehensive evaluation index of the landscape ecology is 0.005. The accuracy of the model to evaluate the sustainability of landscape land resources is 98.67%. The above results show that the model based on the wavelet neural network can effectively and accurately complete the evaluation of landscape ecology and then provide a decision-making basis for landscape ecological planning, which is of high practicability.

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