18 results with keyword: 'neural network modelling discrete wavelet transform processing financial'
This paper discuss FFNN modelling with discrete wavelet transform as pre-processing, especially by using Haar wavelet at various level and be applied in time series
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Key words: LTE, discrete wavelet transform, channel estimation, feed forward neural network equalization, FFT,
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teachers’ interview and students’ questionnaire concerning the while reading stage of grade ten English language teachers’ reading lesson implementation shows that there
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This report presents a Discrete Wavelet Transform and Artificial Neural Network approach to fault detection and classification in transmission line faults.. The
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Data Pre-Processing – We have constrained the effective dimension of the 240 lagged returns by imposing a Discrete Wavelet Transform on the input data via the WEAPON neural network
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Keywords — Electrocardiogram (ECG), MIT-BIH arrhythmia database, Neural Network (NN), Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA)..
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In this study, new hybrid models are developed by integrating two networks the discrete wavelet transform with an artificial neural network (WANN) model and
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Keywords— DWT (Discrete Wavelet Transform), ANN (Artificial Neural Network), fault detection, fault classification, fast forward back propagation algorithm.. I
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Keywords: Support vector machine, discrete wavelet transform, artificial neural network, partial correlation variable selection, palm oil price.. © 2018 Penerbit
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Incipient gearbox fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN).
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The Second block contains the feature extraction method by Discrete wavelet transform and classification using FFBPNN(Feed Forward Back Propagation Neural
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Ramachandran: “Incipient Gear Box Fault Diagno- sis using Discrete Wavelet Transform (DWT) for Feature Extraction and Classification using Artificial Neural Network (ANN)”,
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In this paper, discrete wavelet transform based probabilistic neural network have been proposed for the identification and classification of faults in transmission networkI. The
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Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network.. Rezvan Abbasi 1 , and
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Through this report, the Maine Association of Nonprofits (MANP) and the Maine Community Foundation (MCF) hope to build awareness of the vital role nonprofits play and to
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The Proposed System Detects a Heart Disease called Cardiomyopathy from ECG signal by using Image and Signal processing techniques Discrete Wavelet Transform and Artificial
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Furthermore, manual analysis of ECG signal for detecting ischemia by a physician is very Keywords: Artificial Neural Network, Discrete Wavelet Transform, Principal
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Keywords: Alzheimer’s disease, artificial neural networks, feedforward, MRI, image attributes, texture, frequency, Fourier Transform, Discrete Wavelet Transform, GLCOM,
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