Contrast enhancement for image with non-linear gray transform and wavelet neural network

2006 ◽  
Author(s):  
Changjiang Zhang ◽  
Xiaodong Wang ◽  
Haoran Zhang ◽  
G. Lv
Keyword(s):  
Neural Network ◽  
Contrast Enhancement ◽  
Wavelet Neural Network ◽  
Non Linear

Wind Speed Forecast for Wind Farms Based on Phase Space Reconstruction of Wavelet Neural Network

2012 ◽  
Vol 433-440 ◽  
pp. 840-845 ◽  
Author(s):  
Xiao Bing Xu ◽  
Jun He ◽  
Jian Ping Wang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Phase Space ◽  
Wind Speed ◽  
Network Model ◽  
Neural Network Model ◽  
Phase Space Reconstruction ◽  
Wavelet Neural Network ◽  
Non Linear ◽  
Wind Speed Forecast

Wind speed forecast is a non-linear and non-smooth problem. nonlinear and non-stationary are two kinds of mathematical problem, it is difficult to model with a single method, so that, a wavelet neural network model is set, the non-linear process of wind speed is forecast by neural networks and the non-stationary process of wind speed is decomposed into quasi-stationary at different frequency scales by multi-scale characteristics of wavelet transforms. wavelet combined with neural network model avoid the neural network model that can not handle non-stationary questions .while, the effect of indefinite inputs are removed by embedding dimension of phase space to determine neural networks inputs. The simulation results show that phase space reconstruction of wavelet neural network is more accuracy than the ordinary BP neural network. It could be well applied in wind speed forecasts.

Analysis of Type-2 Fuzzy Recurrent Wavelet Neural Network to Identify Non-linear dynamic System

2021 ◽  
Author(s):  
Debashisa Samal ◽  
Santosh Kumar Padhy ◽  
Laxmipriya Samal ◽  
Hemanta Kumar Palo ◽  
Badri Narayan Sahu
Keyword(s):  
Neural Network ◽  
Dynamic System ◽  
Wavelet Neural Network ◽  
Linear Dynamic System ◽  
Linear Dynamic ◽  
Non Linear
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