neural network pattern recognition
Analysis of Rice Granules using Image Processing and Neural Network Pattern Recognition Tool
... using neural network pattern recognition tool based on the extracted features from the rice ...the neural network architecture. The neural network is built with ...
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Hybrid Pattern Recognition and Multi-resolution Analysis (MRA) Based Fault Location in Power Transmission Lines
... using Neural Network toolbox in MATLAB/SIMULINK ...that neural network pattern recognition and wavelet multi-resolution analysis approach are efficient in identifying and ...
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A Journal of Real Peak Recognition of Electrocardiogram (ECG) Signals Using Neural Network
... using neural network ...to neural network ...that neural network pattern recognition is able to classify and recognize the real peaks accordingly with overall ...
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Vowel Classification based on LPC and ANN
... pattern recognition.75 samples are classified into 5 vowel classes. In pattern recognition problems a neural network is used to classify inputs into a set of target ...Artificial ...
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Induction Motor Fault Classification using Pattern Recognition Neural Network
... Computed features were normalized (scaled) between bounds [0 1], before feeding as input to ANN for training and testing stages. This step ensures that all the features (inputs to ANN) gets equal weightage. It is done to ...
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Protein Secondary Structure Prediction using Pattern Recognition Neural Network
... a Pattern Recognition Neural Network is ...The neural network is defined with one input layer, one hidden layer and one output ...the neural network are encoded and ...
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MEMBRAIN NEURAL NETWORK FOR VISUAL PATTERN RECOGNITION
... Artificial Neural Networks (ANN) have been successfully employed in many applications of visual pattern ...er), pattern recognition (radar systems, face iden- tification, object ...
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Fingerprint Identification System Based On Neural Network
... a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose ...in Neural Network ...
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Candle Stick Pattern Recognition Using Convolutional Neural Network (ResNet)
... Abstract : Financial Markets is depicted as a place where you can make money easily. So, the analysis of the stock market is one of the most happening and interesting analysis Lot of top investment banking company HNI’s ...
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A Neural Network Approach for ECG Classification
... of pattern recognition. The purpose of pattern recognition is to automatically categories a system into one of a number of different ...
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Escherichia coli O157:H7 restriction pattern recognition by artificial neural network
... design of the second method of feature extraction was based on the presence of a major band at approximately 300 kb which was frequently a part of the O157:H7 pattern profile. By using a sliding window of ...
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A Sensorless Speed Estimation For Brushed Dc Motor At Start-Up
... artificial neural network based pattern recognition technique is employed to detect the periodic current ripple generated in brushed dc motor during ...artificial neural network ...
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Identification of Iris Plant Using Feed Forward Neural Network On The Basis Of Floral Dimensions
... the recognition of translated, rotated, dilated, Destroyed and incomplete ...invariant pattern recognition by multilayer ...of network weights using Particle Swarm Optimization (PSO) as a ...
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Handwritten Libretto Recognition Using Multilayer and Cluster Neural Network
... Artificial Neural Network is also a good pattern recognition engines and robust ...signal recognition. Artificial Neural Network (ANN) is a collection of ver y simple and ...
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Feature Extraction Methods for Character Recognition
... Extraction, Optical Character Recognition, Nor malized Accuracy Measure, Fuzzy Zoning, Invariance, Handwritten, Clas sifier, Off-line features, Pattern Recognition, Neural Network, Radia[r] ...
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A Review of Unsupervised Artificial Neural Networks with Applications
... of recognition systems is pattern recognition. Pattern recognition has found application in diagnosing diseases, data mining, classification of documents, recognizing faces, etc [22, ...
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Pattern recognition for manufacturing process variation using ensembled artificial neural network
... (Sharkey, 1999). This approach is now formally known as an artificial neural network ensemble. An ANN ensemble is a finite number of ANNs that are trained for the identical purpose whose predictions are ...
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Prediction of Heart Diseases on the basis of the Cleveland Database
... disease. Neural Networks are statistical tool inspired from biological neural network which can be used to perform various computational tasks such as pattern recognition, predictions, ...
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Dynamic analysis of synchronous machine using neural network based characterization clustering and pattern recognition
... Dynamic analysis of synchronous machine using neural network Dynamic analysis of synchronous machine using neural network based characterization clustering and pattern recognition.. ba[r] ...
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A Survey on Neural Network Based Classification & Diagnosis of Brain Hemorrhages
... and pattern recognition, even though good CAD systems cannot achieve radiologists’ high diagnostic ...and pattern recognition techniques are substantially important in developing CAD ...
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