neural-based pattern classification
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 network ...
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Simultaneous Control of Artificial Limbs Based On Hybrid Extreme Learning Machine Algorithm
... include classification approach based on the procedure of artificial neural network especially we apply hybrid extreme leaning machine (HELM) for pattern recognition to identify the motion of ...
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AN AUTOMATIC PATIENT SEVERITY INDICATION SYSTEM USING PATTERN CLASSIFICATION WITH ADALINE NEURAL NETWORK
... improved pattern classification using ...Adaline neural network has been implemented in this paper for pattern classification, with a collection of information containing the abalone ...
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Artificial Neural Network based String Matching Algorithms for Species Classification – A Preliminary Study and Experimental Results
... The AC string matching algorithm is dictionary-matching algorithm that locates elements of a finite set of strings (the "dictionary") within an input text. It matches all patterns simultaneously. Because all ...
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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 ...diagonal based features into chromosome bit string of size ...feed-forward neural network, with two hidden ...
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ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT FAULT IDENTIFICATION OF ROTATING MACHINERY
... faults. Neural networks (NN) are suitable for these tasks and have been widely researched as an artificial intelligence tool for machinery fault ...a neural network. The neural network will then be ...
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Induction Motor Fault Classification using Pattern Recognition Neural Network
... computer based intelligent algorithms for detection and diagnosis of motor ...(AI) based approaches like Artificial Neural Network (ANN), Support Vector Machine (SVM), Adaptive Neuro-Fuzzy Inference ...
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Lung Pattern Classification for Interstitial Lung Diseases Using an Artificial Neural Network
... In order to examine the shift invariance properties of a transform, Kingsbury [Kin01] proposes a method based on the retention of only one type (details or approximations), from just one level of the decomposition ...
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Encoding candlesticks as images for pattern classification using convolutional neural networks
... Japanese start using technical analysis to trade rice in the 17th century (Wagner and Matheny 1994). While this early version of technical analysis is different from the US version initiated by Charles Dow around 1900. ...
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A Comprehensive and Experimental Survey on Medical Data Classification and Pattern Recognition R. Subathra Devi
... Artificial Neural Network works based on biological nervous ...Artificial neural network classification algorithm uses gradient decent method, Neural network contains multiple neurons ...
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An empirical analysis of Brazilian courts law documents using learning techniques
... making. Neural networks-based techniques were applied for classification and pattern recognition, based on Multi-Layer Perceptron and Radial-basis Func- tions, associated with data ...
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Fpga realization of rbf neural network based transformer impulse fault classification scheme
... a pattern classifier net having a feed forward network. Classification task is performed by transforming the pattern into a high dimensional space in a non-linear ...multilayer neural network ...
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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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Khmer handwritten text recognition with Convolution Neural Networks
... Chao et al. [27] trained an unsupervised distributed Neural Net for feature learning that dramatically improved performance on large models. Also, distributing problems were addressed by Bagging- Down Stochastic ...
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AN EFFICIENT INFORMATION RETRIEVAL SYSTEM USING QUERY EXPANSION AND DOCUMENT RANKING
... useful pattern in text ...for pattern clustering. Pattern clustering is one of the favorable methods for feature extraction in text ...- based self generating algorithm for text ...different ...
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Classification of DDOS Attacks in VANETS based on Distributive Collaborative Framework
... and Classification by Pattern based Framework (DCPF) for the identification of DDOS attacks in vehicular network classification, in this approach, distinguish DDOS related flooding attacks ...
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Motion Pattern Based Video Classification and Retrieval
... events classification in which mo- tion, color, and edge features are used to classify basketball ...variation pattern in video clip suffi- ...only based on non-semantic measurements or a limited scope ...
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Prediction of Heart Disease using RNN Algorithm
... best classification of the data points (in the dataset the right classification is ...scheme. Based on the ranking scores, the prediction of the malignant diabetics is ...
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A Dependency Based Neural Network for Relation Classification
... a neural network framework. Thus, we propose a dependency-based framework where two neural networks are used to model shortest dependency paths and dependency subtrees ...convolutional neural ...
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Neural Network Based Individual Classification System
... altered based on the amount of error it ...XOR classification to a simple network consisting of 2 input, 2 hidden and 1 output neuron using back – propagation can take over 500,000teachers to reach an ...
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