Wavelet neural network (WNN)
Wavelet Neural Network for Classification of Bundle Branch Blocks
... a neural network using wavelet function as activation function in hidden layer ...designed wavelet neural network (WNN) was adopted to classify bundle branch ...with ...
5
Wavelet Neural Network: A Hybrid Method in Modeling Heterogeneous Reservoirs
... Perceptron Neural Network (MLP) are the common methods that are utilized in modeling different type of ...paper, Wavelet Neural Network (WNN) is introduced for modeling the ...
9
The Prediction of Stock Price Based on Improved Wavelet Neural Network
... the wavelet analysis theory developed in the mid-1980, WNN was first proposed by Qinghua Zhang, and has been widely applied [6], WNN has following advantages, one is that as the low correla- tion of ...
6
COMPARING EVOLUTIONARY ALGORITHMS ON TUNING THE PARAMETERS OF FUZZY WAVELET NEURAL NETWORK
... Fuzzy Wavelet Neural Network (FWNN) has been used as one of the most effective methods of soft ...a Neural Network that has been combined by fuzzy rules for dealing with complex ...
6
Estimation of harmonics using adaptive wavelet neural network
... In this paper the muliple layer feed forward neural network based adaptive wavelet neural network (AWNN) is implemented for estimating the harmonics. The proposed scheme is implemented ...
8
Wavelet Neural Network with Random Wavelet Function Parameters
... the wavelet function parameters are initialized and do not change during the training process, but weights between the hidden layer and the output layer of WNN are adjusted ...for wavelet function ...
7
Optimization of coded singals based on wavelet neural network
... Artificial Neural Network (ANN) is an information-processing paradigm that is inspired, by the way, the biological nervous system such as brain process information [19, ...
41
SME DEVELOPMENT BASED ON INFORMATION AND COMMUNICATION TECHNOLOGY TO GLOBAL MARKET IN DISTRICT KENDAL
... Wavelet neural network (WNN) combines neural network and the wavelet ...of WNN is that when the dimension increases, the number of hidden layers increases to an ...
5
Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... of wavelet - neural network for the Ligvan Chai (Tabriz, Iran) catchment has been ...artificial neural network-Wavelet is performed, which shows that the model which ...
10
Forecasting of Daily Gold Price by Using Box-Jenkins Methodology
... The data set of the Gold price from Jan 1990 to Dec 2009 was used for estimation purpose and by using the error comparison, Wavelet Neural Network and Wavelet Neural Network with Trend[r] ...
11
Neural Network Design - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... each network input, the algorithm is only given a ...to network inputs ...a network if you don’t know what it is supposed to do? Most of these algorithms perform some kind of clustering ...
1012
Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor
... With the development of science and technology, electrical equipment has become the main driving force in the modern industry. The process of production will be forced to suspend if the electrical equipment broken down, ...
7
A Survey of Image Compression using Neural Network and Wavelet Transformation
... A wavelet is a mathematical function used to divide a given function or continuous- time signal into different scale ...A wavelet transform is the representation of a function by ..."mother ...
5
Morphological text localization using Wavelet and Neural network
... Discrete Wavelet Transform (DWT) with morphological operator to detect edges of candidate text regions for isolation of text data from the documented video ...
8
Curvelet and Wavelet Image Fusion using Neural Network Algorithm
... Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological ...Artificial neural networks may either be used to gain an ...
5
Wavelet – Neural Data Mining Approach for Spoken
... a network until it can approximate a function, associate input vectors with specific output vectors, or classify input vectors in an appropriate way as defined in this ...The network consists of three ...
8
Three layer wavelet based modeling for river flow
... Another example data driven model are Adaptive Neuro-Fuzzy Inference System (ANFIS), Artificial Neural Network (ANN) and Fuzzy Logic (FL) have been known as potentially useful methods in modeling ...
50
Automated Glaucoma Detection Using Hybrid Feature Extraction in Retinal Fundus Images
... energy values of glaucoma are low, this effect may indicate a degeneration of the optic nerve (Table 1), which are expressed as β. The phase entropy values of HOS are high in case of glaucoma, which are expressed as α. ...
23
Forecasting Baltic Dirty Tanker Index by Applying Wavelet Neural Networks
... applying Wavelet Neural Networks ...choosing WNN are ex- ...for WNN forecasting ...elaborates WNN model building ...between WNN and ARIMA time series models show that WNN ...
20
Online Full Text
... tuning wavelet neural control (ATWNC) system for a chaotic dynamic ...a wavelet neural controller and a smooth compensator. The wavelet neural controller utilizes a WNN to ...
6