fuzzy-decision neural network
Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault detection/diagnosis schemes can be ...two ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... introduce fuzzy neural network’s basic principle; secondly to use 60 days numerical weather prediction (NWP) data and power data, from ...of fuzzy neural network to train the ...
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CDSS for Heart Disease Prediction Using Risk Factors
... Multi-technic decision support system powered by genetic algorithm, neural network, and fuzzy logic concepts for the diagnosis of heart disease has been investigated in this ...the ...
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... India is an agricultural country and its economy is largely based upon crop productivity. For analyzing the crop productivity, rainfall prediction is require and necessary. Rainfall Prediction is the application of ...
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Fuzzy Neural Network for Clustering and Classification
... Fuzzy Hyperbox Membership Function is very important in fuzzy min max neural network ...The decision whether the given input pattern belongs to a particular class or cluster, thus ...
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Neural Network Regressions with Fuzzy Clustering
... the Fuzzy C-means algorithm for shapes of ellipses and ellipsoids [4], there are still strict restrictions on the clusters’ ...cluster decision for this problem. Fuzzy c-regression can solve the ...
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A Review on Heart Disease Prediction using Machine Learning and Data Analytics Approach
... Heart is the next major organ comparing to brain which has more priority in Human body. It pumps the blood and supplies to all organs of the whole body. Prediction of occurrences of heart diseases in medical field is ...
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Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... the Fuzzy method is its ability to work with approximate data and find explicit ...the Fuzzy set is an appropriate method for the analysis of complex systems and decision ...values, Fuzzy ...
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LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
... With more evolution in technology, the database increased and came more complex and huge. Also, the search process in these data became complicated and takes a lot of time to reach valuable information. So, we need to an ...
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A Study of Image Classification using Machine learning-A Systematic Approach Aswathythankachan, Bino Thomas Abstract PDF IJIRMET1604010013
... Abstract : Machine learning is an application of artificial intelligence that make the computer to learn by themselves without being explicitly programmed. There are different classification techniques. like supervised ...
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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, ...
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Data mining using intelligent systems : an optimized weighted fuzzy decision tree approach
... and Fuzzy C-Means were used to cluster the acoustic event signals and classify those events to different failure mechanism, after the classification, OWFDT was introduced to design a classifier in an attempt to ...
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Fuzzy MADM Method for Decision Support System based on Artificial Neural Network to Water Quality Assessment in Surabaya River
... Irawan, M. I., Syaharuddin, Utomo, D. B., dan Rukmi, A. M. (2013). “Intelligent Irrigation Water Requirement System Based On Artificial Neural Networks And Profit Optimization For Planting Time Decision ...
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Intelligent Decision Support Systems for Oil Price Forecasting
... delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil ...guide decision ...
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Prediction of Heart Disease using RNN Algorithm
... platform which is reliable to challenge the commercial and non- commercial IT development communities of data streams in high dimensional data cluster modeling. The knowledge discovery in database (KDD) is alarmed with ...
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Prediction of Dumping a Product in Textile Industry
... A fuzzy decision tree consists of nodes for testing attributes, edges for branching by test values of fuzzy sets defined by a user and leaves for deciding class names with ...certainties. ...
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Deduction of reservoir operating rules for application in global hydrological models
... determining fuzzy rules that are able to describe the release regime for most reservoirs with MSEs as low as ...plex network is ...the fuzzy rules are trying to de- scribe two different modes of ...
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Online Full Text
... a fuzzy compensator is verified by some simulations. The fuzzy compensation controller design uses a simple fuzzy system can remove completely the chattering ...
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Review Computer Network Routing with a Fuzzy Neural Network
... The proliferation of computer networks increases the need for improved network management techniques. As computer networks expand, they become more complex as they attempt to support a more diverse selection of ...
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Artificial Intelligence and its Application as an Integrated Approach
... AlphaGo has revolutionized the AI space with the most recent feat that involved beating top Go player, Lee Sedol. AlphaGo essentially uses a Monte Carlo tree search to base its move upon previously “learned” knowledge ...
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