neural network pattern classification
Development of a deep neural network for automated electromyographic pattern classification
... in classification but is unable to account for the high signal variability present in sEMG, which led to a substantial decrease in ...sEMG classification task and accounts for this inherent signal ...
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Damage size classification of natural fibre reinforced composites using neural network
... Damage classification is considered as an important feature in pattern recognition, which led to providing significant ...size classification for several impact events in natural fibre reinforced ...
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A hybrid framework for brain TUMOR detection and classification using neural network
... proposed classification system by selecting abnormal images alone for further ...the neural network using Back Propagation Algorithm defined by Levenberg-Marquardt (LM) ...Forward Neural ...
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Lung Pattern Classification for Interstitial Lung Diseases Using an Artificial Neural Network
... aided classification Method in Computer Tomography (CT) Images of lungs developed using ...Artificial Neural Network -Back Propagation method designed for classification of Interstitial Lung ...
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Pattern Classification based on Web Usage Mining using Neural Network Technique
... Bayesian Classification with supervise learning ...that Classification of user habit in more & more accurate with session base divide data after data cleaning concept for the use of more dynamic web ...
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Analysis of Rice Granules using Image Processing and Neural Network Pattern Recognition Tool
... and classification of different grains such as wheat, Bengal gram, groundnut, ...artificial neural network approach is used in the Identification and classification of the bulk grain samples ...
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A Neural Network Approach for ECG Classification
... of pattern recognition (PR), artificial neural networks (ANNs) can be regarded as an extension of many conventional or not, techniques ...[4]. Neural networks are adaptive machines which have „a ...
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Identification Of Weeds From Crops Using Convolutional Neural Network
... of network Architecture YannLeCun uses a new architecture which is good at object recognition in image dataset called the Convolutional Neural Network ...and classification rate on image and ...
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Intelligent Neural Network For Bacteria Classification: An Innovation In Artificial Neural Network
... identification. Neural network has been exoploted as a soft-computing based classifier for the taxonomy of pathogenic ...Intelligent Neural Network has been considered as a mathematical model ...
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Simultaneous Control of Artificial Limbs Based On Hybrid Extreme Learning Machine Algorithm
... Different classification methods have been proposed in recent work to recognize and identify the patterns in online dataset by the use of surface EMG [10], as well as in real-time ...include classification ...
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Online Full Text
... for classification by unsupervised ...the neural network does the ...for pattern classification using a Pure Neural approach have been used for ...
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A Novel Pattern Classification using Granular Reflex Fuzzy Min Max Neural Network
... A Novel Pattern Classification using Granular Reflex Fuzzy Min-Max Neural Network Ramesh Kakollu M.Tech Student Gudlavalleru Engineering College,Gudlavalleru Krishna Dist, A.P., India, P[r] ...
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Optimization in an Error Backpropagation Neural Network Environment with a Performance Test on a Pattern Classification Problem
... as pattern classiers is reviewed. Additionally, the network training problem is described as a problem of minimizing the multiple class cross- entropy error ...sensing pattern classication problem is ...
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Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
... The network classifies input vector into a specific class because that class has the maximum probability to be ...training pattern closest to the input pattern based on their ...
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A Review of Unsupervised Artificial Neural Networks with Applications
... is pattern recognition. Pattern recognition has found application in diagnosing diseases, data mining, classification of documents, recognizing faces, etc [22, ...artificial neural ...
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Implementation of Feed-forward Neural Network Models for Pattern Classification Using Transformation Based Feature Extraction Methods
... feed-forward neural network system with 92% recognition ...the neural network for classification. Network was trained with back- propagation algorithm with adaptive learning rate ...
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Induction Motor Fault Classification using Pattern Recognition Neural Network
... the classification results and eliminate the undue bias to any particular feature, as all features are considered equally ...for pattern recognition neural network was selected in the ...
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AN AUTOMATIC PATIENT SEVERITY INDICATION SYSTEM USING PATTERN CLASSIFICATION WITH ADALINE NEURAL NETWORK
... Adaline neural network has implemented using Matlab for pattern classification with an abalone data of symptoms of the patient admitted into the ...This network was able to classify all ...
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An Improved Fuzzy Neural Network for Solving Uncertainty in Pattern Classification and Identification
... this network to recognition of distinct Farsi alphabets by dividing input pattern to separated regions and recognition pre defined patterns like horizontal, vertical lines and dots in these regions ...this ...
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Scaly Neural Networks for Speech Recognition Using DTW and Time Alignment Algorithms
... speech pattern before it is presented to a neural network was introduced the two types of algorithm available, linear and non- linear, were ...without neural networks for speech recognition ...
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