• No results found

[PDF] Top 20 DISCRETE WAVELET TRANSFORM AND S-TRANSFORM BASED TIME SERIES DATA MINING USING MULTILAYER PERCEPTRON NEURAL NETWORK

Has 10000 "DISCRETE WAVELET TRANSFORM AND S-TRANSFORM BASED TIME SERIES DATA MINING USING MULTILAYER PERCEPTRON NEURAL NETWORK" found on our website. Below are the top 20 most common "DISCRETE WAVELET TRANSFORM AND S-TRANSFORM BASED TIME SERIES DATA MINING USING MULTILAYER PERCEPTRON NEURAL NETWORK".

DISCRETE WAVELET TRANSFORM AND S-TRANSFORM BASED TIME SERIES DATA MINING USING MULTILAYER PERCEPTRON NEURAL NETWORK

DISCRETE WAVELET TRANSFORM AND S-TRANSFORM BASED TIME SERIES DATA MINING USING MULTILAYER PERCEPTRON NEURAL NETWORK

... different wavelet based techniques are outlined here for nonstationary time series that occur in power networks due to various stochastic ...power network disturbances (also known as ... See full document

8

Time Series Modeling of River Flow Using Wavelet Neural Networks

Time Series Modeling of River Flow Using Wavelet Neural Networks

... the time series were considered as input ...the time series data to be predicted in one step ahead. Time series data was standardized for zero mean and unit ... See full document

10

Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network

Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network

... artificial neural network yield the highest sensitivity and ...used wavelet transform in diagnosing ...used wavelet decomposition for generating feature vector ...of wavelet and ... See full document

6

An improved multilayer perceptron based on wavelet approach for physical time series prediction

An improved multilayer perceptron based on wavelet approach for physical time series prediction

... large network architecture and huge time series datasets (Izzeldin, Asirvadam & Saad, 2010; Karlaftis & Vlahogianni, 2011; Dauphin & Bengio, ...by time series and the most ... See full document

47

Diagnosis, classification and prognosis of rotating machine using artificial intelligence

Diagnosis, classification and prognosis of rotating machine using artificial intelligence

... raw data need to be pre-processed before it can be applied for fault ...raw data, which the signal is turning into information. Data sources from rotating machine usually are non- linear, ... See full document

48

Automated Classification of Brain Tumors using Image Pre Processing and Probabilistic Neural Networks

Automated Classification of Brain Tumors using Image Pre Processing and Probabilistic Neural Networks

... Bayesian network and the estimation of probability density ...our data set to it as an input and the data is then handled through numerous ...is based on the Baye’s theorem of conditional ... See full document

5

Modelling and Wavelet Based Identification of 3 DOF Vehicle Suspension System

Modelling and Wavelet Based Identification of 3 DOF Vehicle Suspension System

... The original response signal is shown in Figure 5. For this response he CWT of was firstly calculated for N  1 as shown in Figure 6(a) and Figure 6(b) gives a cross- section of the CWT at different times. According to ... See full document

10

A Review on Transform Domain Adaptive Filters

A Review on Transform Domain Adaptive Filters

... Fourier transform based block normalized LMS (FBNLMS) was introduced to reduce the computational complexity by using discrete fourier transform ...Hartley transform based ... See full document

5

Encryption and Authentication of Effigy by using SVD

Encryption and Authentication of Effigy by using SVD

... The using of singular value of such refactoring allows us to represent the image with a smaller set of values which can preserve useful feature of original image but useless storage space in the memory and achieve ... See full document

7

VLSI Architecture for 2-D Sub-band Wavelet Transform using 9/7 Wavelet Coefficient

VLSI Architecture for 2-D Sub-band Wavelet Transform using 9/7 Wavelet Coefficient

... of discrete wavelet transform (DWT) over the unitary transforms like discrete wavelet transform (DWT), discrete cosine transform (DCT), discrete sine ... See full document

6

Analysis of Image Compression in medical images Using Hybridization of DWT and Neural Network

Analysis of Image Compression in medical images Using Hybridization of DWT and Neural Network

... the neural network and discrete wavelet transform hybridization to compress the image and evaluated using mean square error, Peak signal to noise ratio and compression ratio and ... See full document

5

A Review on Fusion Techniques for Fingerprint Recognition

A Review on Fusion Techniques for Fingerprint Recognition

... The information content of a single image is mainly limited by the spatial and spectral resolution of the imaging system. Current imaging systems offer a trade-off between high spatial and high spectral resolutions. No ... See full document

6

Tumor Preserving Medical Image Compression

Tumor Preserving Medical Image Compression

... compression based on General indexing and Huffman gave maximum compression ratio ...is based on db1, db2 wavelet at single level ...same time achieving good PSNR, compression ratio and bits ... See full document

5

MULTICLASS OBJECT CLASSIFICATION USING NEURAL NETWORK   BASED ON WAVELET TRANSFORM

MULTICLASS OBJECT CLASSIFICATION USING NEURAL NETWORK BASED ON WAVELET TRANSFORM

... original data and represent it in lower dimensionality ...and transform coefficient ...is based on Kohenen Leave (KL) transformation is most widely recognized method for algebraic feature ...of ... See full document

6

SELECTION OF OPTIMAL BASE WAVELET FOR IMAGE COMPRESSION

SELECTION OF OPTIMAL BASE WAVELET FOR IMAGE COMPRESSION

... sampled at regular time interval t . is split into a “blurred” version a1 at the coarser interval t 2and “detail” d1 at scale t This process is repeated and gives a sequence , , , , ,…..of more and ... See full document

10

Various epileptic seizure detection techniques using biomedical signals: a review

Various epileptic seizure detection techniques using biomedical signals: a review

... a time, keeping other mode off at the same time, but device is not used in network, ...senor network (BSN) that can moni- tor and detect epileptic seizures using the features like mean, ... See full document

19

Tumor Recognition in Wireless Capsule Endoscopy Images

Tumor Recognition in Wireless Capsule Endoscopy Images

... images using tumor detection, this method are a combination of discrete wavelet transform and probabilistic neural ...probabilistic neural network classifier and tests ... See full document

6

Face Recognition And Signature Verification  With Neural Network using GABOR Wavelet And Discrete Wavelet Transform

Face Recognition And Signature Verification With Neural Network using GABOR Wavelet And Discrete Wavelet Transform

... Abstract - Face recognition is emerging as one of the popular field in the biometric research. It is used in various surveillance systems for the security purpose as it doesn’t needs object comparison. The main advantage ... See full document

5

Automated Glaucoma Detection Using Hybrid Feature Extraction in Retinal Fundus Images

Automated Glaucoma Detection Using Hybrid Feature Extraction in Retinal Fundus Images

... system based hybrid feature extraction from digital fundus ...Trace Transform (TT) and Discrete Wavelet Transform (DWT) features, to diag- nose the unknown class using a single ... See full document

23

Transmission lines fault detection using 
		Discrete Wavelet Transform and artificial neural network algorithm

Transmission lines fault detection using Discrete Wavelet Transform and artificial neural network algorithm

... transmitting network is to collect the proper electrical transmission, that's used in the way of fault recognition and ...transmitting network offers purest two signals that can become received and ... See full document

8

Show all 10000 documents...