fuzzy neural networks
Fuzzy Neural Networks
... 3.1. Fuzzy Neural Networks (or) Neuro Fuzzy System Neural network and Fuzzy logic are many times applied together for solving engineering ...like neural networks ...
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GA-based learning algorithms to identify fuzzy rules for fuzzy neural networks
... a fuzzy neural net- work is the identification of the fuzzy ...the fuzzy rules in fuzzy neural networks is to learn and modify the rules from past ...the fuzzy ...
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Multi targets Priority Ordering Based on Fuzzy Neural Networks
... ordering, Fuzzy neural networks, Model, Sensors ...of fuzzy neural networks in multi-targets priority ordering is introduced in this ...for fuzzy neural ...
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Numerical Solution of Fuzzy Differential Equations Based on Taylor Series by Using Fuzzy Neural Networks
... on fuzzy neural networks and Taylor series for solving fuzzy differential ...of fuzzy neural networks to approximate the solutions of FDEs ...using fuzzy ...
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Stock Market Prediction Based on Fundamentalist Analysis with Fuzzy- Neural Networks
... of Neural Networks and Fuzzy Logic techniques to fundamentalist analysis of stock ...used neural networks models in a variety of ways to predict short and long-term stock forecasting, ...
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Application of Fuzzy-neural networks in multi-ahead forecast of stock price
... to neural networks ...Artificial Neural Networks (ANN) and Chaos ...used neural networks attempted to predict Istanbul stock exchange market index ...of neural ...
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Fuzzy Neural Networks
... dvou fuzzy systémů založených na asociativních ...odpovídajícím fuzzy regulátorem a neuronovou sítí. Neuronové sítě i fuzzy inferenční systémy mohou být využity k řešení úloh, u kterých neznáme ...
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Solution of two-point fuzzy boundary value problems by fuzzy neural networks
... second-order fuzzy differential equations. This method based on the fully fuzzy neural network to find the numerical solution of the two-point fuzzy boundary value problems for the ordinary ...
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Fuzzy Neural Networks in Vertical Handover Technology for Next Generation In Wireless Networks
... As far as we are aware, the algorithms concerned with the vertical handoff recorded in literatures can be classified to four main directions. The first approach takes the received signal strength (RSS) and some other ...
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Fuzzy neural networks with genetic algorithm-based learning method
... artificial neural networks based on granules for both crisp and uncertain ...these networks are attempting to learn as well as decreasing the cost of the learning processes are desired for a better ...
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Fuzzy neural networks with genetic algorithm-based learning method
... rangkaian neural buatan berdasarkan granul untuk kedua-dua data jelas dan tidak ...rangkaian neural buatan bergantung kepada kebolehan untuk memahami isi kandungan data dengan mendalam dan juga kebolehan ...
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Medical Images Classification and Diagnostics Using Fuzzy Neural Networks
... Every fuzzy set is marked a linguistic term, such as «large», «small», «middle» et ...cetera. Fuzzy sets and linguistic rules present approximation of classifying function and determine the result of the ...
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I. INTRODUCTION HE fuzzy neural networks (FNN) combine the strength
... II. T HE FUZZY HYPERLINE SEGMENT NEURAL NETWORK (FHLSNN) A. Topology of FHLSNN The readers are advised to refer the [5] for the detail description of architecture and algorithm of FHLSNN. To make this ...
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Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
... The re- current structure of the proposed method is able to account for temporal data changes in contrast to both both feedforward neural network and de- cision tree approaches.. It [r] ...
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Models of neural networks with fuzzy activation functions
... the fuzzy membership functions derived from the theory of fuzzy ...with fuzzy activation functions, we created the models of fuzzy-neural ...These fuzzy-neural network ...
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Fuzzy rough granular neural networks, fuzzy granules, and classification
... high fuzzy granules and the other has classes of granulation structures induced by a set of fuzzy equivalence granules based on a fuzzy similarity ...stratified fuzzy rough set approximations ...
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Pruning on Fuzzy Min-Max Neural Networks
... Artificial Neural Network for the pattern classification. C.Chong proposed fuzzy min-max hyperbox classifier to solve M-class classification ...a fuzzy classifier by adding min-max hyperboxes as ...
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Fuzzy Logic and Neural Networks - a Glimpse of the Future
... realm. Fuzzy logic allows a decision making process like our own and neural networks provide systems that can learn what to do in certain situations in a manner mimicking our own neural ...
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Microwave neural networks and fuzzy classifiers for ES systems
... This chapter introduces approximate reasoning to ES signal classification. ES systems can obtain considerable gain in flexibility and adaptability by using artificial intelligence (AI) techniques. Such techniques ...
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Keywords: Learning, neural networks, fuzzy systems, perceptron, neuro-fuzzy. 1 Introduction
... of neural networks and fuzzy ...used neural network architecture of MLP – Multi Layer Perceptron is also one of the least efficient ...optimal neural network ...way neural ...
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