# wavelet neural network

### COMPARING EVOLUTIONARY ALGORITHMS ON TUNING THE PARAMETERS OF FUZZY WAVELET NEURAL NETWORK

**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 ...

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### Verification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation

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### Application of Local Linear Wavelet Neural Network in Short Term Electric Load Forecasting

**wavelet**

**neural**

**network**is a kind of basis function

**neural**

**network**in the sense of that the

**wavelet**consists of the basis ...perceptron

**neural**

**network**, this ...

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### Adaptive Wavelet Neural Network for Terrestrial Laser Scanner-Based Crack Detection

**wavelet**

**neural**

**network**(WNN)-based approach to compress data into a combination of low- and high-resolution surfaces, and automatically detect concrete cracks and other forms of ...layer ...

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### The Prediction of Stock Price Based on Improved Wavelet Neural Network

**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

**wavelet**...

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### Wavelet Neural Network: A Hybrid Method in Modeling Heterogeneous Reservoirs

**wavelet**

**neural**

**network**(WNN) requires less CPU time than the ordinary kriging (OK) and multilayer perceptron

**neural**

**network**(MLP) ...

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### HHT Fuzzy Wavelet Neural Network to Identify Incipient Cavitations in Cooling pump of Engine

**neural**

**network**and fuzzy theory are two effective identification ...fuzzy

**wavelet**

**neural**

**network**(FWNN) integrates the advantages of both fuzzy technique and

**wavelet**...

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### Wavelet Neural Network for Classification of Bundle Branch Blocks

**neural**

**network**using

**wavelet**function as activation function in hidden layer ...designed

**wavelet**

**neural**

**network**(WNN) was adopted to classify bundle branch ...with ...

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### Human lower extremity joint moment prediction: A wavelet neural network approach

**wavelet**

**neural**

**network**to calculate lower extremity joint moments using ground reaction forces and electromyography signals; easier and faster than multi body dynamics and more accurate than feed ...

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### Estimation of harmonics using adaptive wavelet neural network

**neural**

**network**based adaptive

**wavelet**

**neural**

**network**(AWNN) is implemented for estimating the harmonics. The proposed scheme is implemented ...

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### Performance Improvement of GPS GDOP Approximation Using Recurrent Wavelet Neural Network

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### Wavelet Neural Network with Random Wavelet Function Parameters

**Wavelet**functions in the hidden layer of the proposed

**network**leads to a higher approximation ability in comparison with NNRW [13], and RVFL ...

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### An auditory classifier employing a wavelet neural network implemented in a digital design

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### An Enhanced Wavelet Neural Network Model For Epileptic Seizure Detection And Prediction

**network**design of RBFNs, WNNs also employ localized activation functions in the hidden nodes, where the locations of translation vectors need to be determined ...

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### Network Intrusion Detection Using Self-Recurrent Wavelet Neural Network with Multidimensional Radial Wavelons

**neural**networks to the models of intrusion detection performs in a significant way, due to the fact that the three models considered (FRNN, SRWNN, SRWNNMRW) are located in the upper triangular ...

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### Optimization of coded singals based on wavelet neural network

**wavelet**for activation instead of the classic sigmoidal ...characterizes

**neural**networks. The nodes (or wavelons) of

**wavelet**networks are

**wavelet**coefficients of the function expansion that ...

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### An Image Compression Method Based on Wavelet Transform and Neural Network

**wavelet**transform and the self-learning function of the traditional artificial nerual ...after

**wavelet**decomposition have the property and classification characteristics of the common approximate ...

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### Fault Detection and Diagnosis of Induction Machines based on Wavelet and Probabilistic Neural Network

**neural**networks in practical applications ...integrates

**wavelet**with

**neural**

**network**and employed a novel training algorithm is proposed in this ...The

**wavelet**

**neural**...

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### A Lung Sound Category Recognition Method Based on Wavelet Decomposition and BP Neural Network

**Wavelet**de-noised method is adopted to reduce noise of collected lung sounds and extract

**wavelet**characteristic coefficients of the de-noised lung sounds by

**wavelet**...after

**wavelet**...

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### Fusion of Multi Modal Lumber Spine Scans Using Wavelet and Convolutional Neural Network

**neural**

**network**that is trained on more than a million images from the ImageNetdatabase ...the

**network**has learned rich feature representations for a wide range of ...The

**network**...

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