neural network classification systems
Fuzzy Neural Network for Clustering and Classification
... and neural network are greatly used to develop intelligent systems ...and neural network is that fuzzy logic have greater ability to handle approximate or uncertain information with the ...
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Artificial Neural Network Classification for Gunshot Detection and Localization System
... [14]. Girod, L., Lukac, M., Trifa, V., &Estrin, D. (2006, October). The design and implementation of a self- calibrating distributed acoustic sensing platform. In Proceedings of the 4th international conference on ...
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Prediction of Skin Cancer Using Morphological Neural Network Analysis
... deep neural networks for image classification. A number of systems are presented in image classification using MNNs, such as Chen et ...Complementary Neural Networks (CMTNN) and ...
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A classification approach for power distribution systems fault cause identification
... two classification methods, logistic regression (LR) and artificial neural network (ANN) applied to mine the historical outage data for power distribution fault cause classification, are ...
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Artificial Neural Network and Particle Swarm Optimization in Orange Identification
... Classification is the last stage in typical computer vision systems, such as those intended for fruit variety recognition. A set of tuple of features is given as input, the classifier is to predict the most ...
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Detection and Classification of Wear in Rotary Systems based on ANN and GA
... ABSTRACT: The subject matter of this paper refers to the improvement of the acoustic emission (AE) method when used for detection and classification of wear in rotor and stator. Firstly, time-domain signal ...
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A Survey Paper on Detection and Classification of Leaf Diseases in Plants
... Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process ...example. Neural networks can be ...
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Beat classification of an ecg signal using photoplethysmography and neural network
... tele-monitoring systems, which may facilitate early supported discharge from hospital or prompt recognition of physiological deterioration in high- risk patient ...
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Implementation of hybrid classification model in distributed systems for network monitoring
... Machine) classification algorithm and Neural Networks classification algorithms identify the pitfalls and propose a new hybrid classification algorithm which is reliable, fast, efficient and ...
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Protection and Controlling of Transmission Lines by using Machine Learning Techinique
... facility network, right from generation through transmission to distribution ...grid network for cover of conductor, generator protection, motor protection, real time fault location, protection of bus bar ...
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Anaphora Resolution in Hindi: Issues and Challenges
... translation systems: AnglaHindi by IIT Kanpur, Matra2 by CDAC Mumbai and Google translation ...probabilistic neural network models on the demonstrative pronouns in ...that classification of ...
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Video Classification with Recurrent Neural Network
... Recurrent Neural Network. Recently all video classification benchmarks performed for clip level prediction but the proposed system worked for clip level prediction to global video level prediction ...
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A Neural Network Approach for ECG Classification
... 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 natural propensity for storing ...
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Local System Voting Feature for Machine Translation System Combination
... on tune(MERT) of system combinations including one unigram localVote model trained with differ- ent word class sizes are illustrated. Independent of the word class size, system combination including a localVote model ...
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Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
... This section presents design of the system’s architecture and procedures performed by each component of the architecture during diagnosis. Components of the architecture are presented in the database, Neuro-Fuzzy-Genetic ...
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MRI BRAIN IMAGE CLASSIFICATION USING POLYNOMIAL KERNEL PRINCIPAL COMPONENT ANALYSIS WITH NEURAL NETWORK
... In this paper, multilayer perceptions network with error back propagation learning is used. Back propagation learning rule is based on the error-correction learning rule [13]. In this learning rule, firstly input ...
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Ordinal based Classification Techniques: A Survey
... In this method, the ordinal data labels are mapped to certain real numbers [1]. The data labels are now real numbers and hence standardized regression-based algorithms and techniques are utilized for further ...
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Neural Network Design - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... of neural networks become ap- parent only for large-scale problems, which are computationally intensive and not feasible for hand ...MATLAB, neural network al- gorithms can be quickly implemented, ...
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MELANOMA SKIN CANCER DETECTION USING IMAGE PROCESSING
... The proposed implementation is compared with the MATLAB only results for accuracy and speed-up. It is observed that the speed-up obtained for epidermis segmentation is roughly 3 times whereas the speed-up obtained by the ...
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Data Mining based on Hashing Technique
... The ideal starting point is a data warehouse containing a combination of internal data tracking all customer contact coupled with external market data about competitor activity. Background information on potential ...
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