Wavelet - Artificial Neural Network
Mallats Wavelet Transform for Face Recognition using Artificial Neural Network
... Mallets Wavelet Transform and Artificial Neural ...where Artificial Neural Networks (ANN) classifiers is combined with Mallets Wavelet ...Mallats Wavelet Transform is ...
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Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform
... Sputum sounds are biological signals used to evaluate the condition of sputum deposition in a respiratory system. To improve the efficiency of intensive care unit (ICU) staff and achieve timely clearance of secretion in ...
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Transmission lines fault detection using Discrete Wavelet Transform and artificial neural network algorithm
... cause: wavelet transform [5], wavelet transformation [5], [8], [9], H transformation [4], ...The wavelet transformation analyzes the entire signals in period domain ...in wavelet ...
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An Application of Wavelet Transform and Artificial Neural Network for Microarray Gene Expression based Brain Tumor Sub-classification.
... Wavelet transform is one of the advanced techniques for feature extraction. It offers number of advantages like providing time and frequency information of the signal simultaneously, multi resolution analysis, ...
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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, ...
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Detection of inrush current using Wavelet Transform and Artificial Neural Network (ANN)
... Develops wavelet transform for filtering harmonic currents and the results are classified by using probabilistic neural network ...used. Wavelet transform separates fundamental signal and ...
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Application of Wavelet Denoising and Artificial Intelligence Models for Stream Flow Forecasting
... based wavelet denoising Least Square Support Vector Machine (LSSVM) and Artificial Neural Network (ANN) models were evaluated for forecasting daily Multi-Station (MS) streamflow of the ...
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Estimation of groundwater level using a hybrid genetic algorithm-neural network
... of neural network models for the prediction of water resources ...the Artificial Neural Network-Geostatic methodology for spatiotemporal prediction of groundwater levels in a coastal ...
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Online Full Text
... continuous wavelet transform technique and faults classification using artificial neural network for the purpose of the fault detection has been ...developed. Wavelet analysis, which ...
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Three layer wavelet based modeling for river flow
... (ANFIS), Artificial Neural Network (ANN) and Fuzzy Logic (FL) have been known as potentially useful methods in modeling time-series hydrologic ...
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Vol 8, No 5 (2018)
... using Wavelet Techniques and Artificial Neural ...a wavelet-based texture analysis method for classification of five types of skin ...tree-structured wavelet transform on different ...
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An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space
... regression, artificial neural network (back proliferation neural network, summed up regression neural network) and bolster vector machine (SVM) was thought ...proposed ...
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SME DEVELOPMENT BASED ON INFORMATION AND COMMUNICATION TECHNOLOGY TO GLOBAL MARKET IN DISTRICT KENDAL
... like Artificial Neural Network (ANN), Fuzzy Set Theory and Rough Set ...sophisticated artificial neural networks e.g. Dynamic Filter- Weights Neural Network [2, 3], Local ...
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Automated Classification of Brain Tumors using Image Pre Processing and Probabilistic Neural Networks
... discrete wavelet transform along with threshold based segmentation for separation and de- noising of brain tumor ...probabilistic neural network with the computed feature ...
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Visual Recognition System for Hearically Impaired Person –A Review
... The basic building block of ANN is processing unit, topology and learning algorithm [9]. The basic structure of neurons is similar to biological neuron. Boltzmann principle and Hebbian rule help in the learning of ...
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Protection and Controlling of Transmission Lines by using Machine Learning Techinique
... The neural system way to deal with issue location may even be uncovering as an example acknowledgment detriment the ANN is prepared to recognize unadulterated snakelike flag as pointers of a standard framework ...
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Application of Artificial Intelligence for Epilepsy Disease
... For measure the EEG put the electrodes on the cranium of the tolerant here they collect electrical scheme of the cerebrum [13] [14]. That scheme consequences from stimulant neurons ejecting activity powers. At some ...
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ABSTRACT: Chaos and chaos control are new theories and new fields of nonlinear dynamics. Chaotic motion
... and neural network method, and puts forward some opinions on the possible difficulties in the future, and points out the application prospect and research direction of chaos ...
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Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... “artificial neural network with an error backward propagation algorithm” and an “artificial neural network with a genetic algo- rithm”, 61 firms in 7 financial years, from the ...
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Artificial Neural Network
... fault. Neural networks and conventional algorithmic computers are not in competition but complement each ...the neural network) in order to perform at maximum ...is Artificial Neural ...
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