fuzzy neural learning system
(EM) mechanism, for global
... hybrid learning algorithms which is the improved EM algorithm with genetic algorithm technique (IEMGA) for recurrent fuzzy neural system ...recurrent fuzzy neural system ...
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MULTI-INTERSECTION TRAFFIC CONGESTION CONTROL METHOD BASED ON REINFORCEMENT LEARNING.
... artificial neural networks, genetic algorithms, reinforced learning and other machine learning algorithms are often used to solve traffic congestion control ...problem[1]. Fuzzy control based ...
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Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks
... and fuzzy arithmetic, was first introduced by Nie and Linkens ...hybrid learning scheme and can be split into two stages during model ...unsupervised learning is used to build the if-then rule ...
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Online Full Text
... wavelet neural control (ATWNC) system for a chaotic dynamic ...ATWNC system consists of a wavelet neural controller and a smooth ...wavelet neural controller utilizes a WNN to online ...
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K.P.MALARKODI et al , International Journal of Computer Science and Mobile Applications,
... In latest centuries, exclusive image handling the tenure swarm intelligence methodology has advanced into unique artificial intelligence arena. It is reinvigorated by swarm insect with the resolve to show cooperative ...
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DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL
... and fuzzy systems can be combined to join its advantages and to cure its individual ...illness. Neural networks introduce its computational characteristics of learning in the fuzzy systems and ...
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Forecasting Fuzzy Delphi and Hybrid intelligent system for ERP Architecture through the Scientific Private Cloud
... artificial neural networks (ANNs) concept is originated from the biological science (neurons in an ...a neural connection is updated by ...by learning from the data ...BP neural networks ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... and system identification via NN’s [27], [28], the studies on the use of NN’s for fault detection have been structured around several ...estimate system output, given a number of previous input and output ...
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Neural Network based Video Quality via Adaptive FEC in Wireless Environment
... Artificial Neural Network (ANN) has proven capability in wireless communications in building wireless intelligent ...applying neural networks is to change from the lengthy analysis and design cycles ...
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Development of an Expert System for Message Routing in a Switched Network Environment
... Neuro- Fuzzy Expert System (NFES) ...management system. This work therefore employed a Neuro-Fuzzy Expert System model that combines the learning ability of artificial ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the neural networks ...
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Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... of neural network and fuzzy logic, determines the parameters of the fuzzy system using the neural network learning ...combinatory system has been established based on the ...
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Prolonging the Network Life Time in WSN through Computational Intelligence
... inspiration. Neural network is the derivation of ideas from human brain system for solving complex problems, evolutionary computing is basically inspiration of natural evolution for generating and ...
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Fuzzy Neuro Model for Intelligent Credit Risk Management
... self- learning similar to the traditional neural ...the neural net- work’s “black box” configuration, which is an undesir- able feature for credit evaluation, the HFNN model is capable of generating ...
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Neuro-Fuzzy Scheduler for the Control of Real Time Spherical Tank Process
... and learning abilities of neural network with the human like knowledge representation and explanation abilities of a fuzzy ...conventional fuzzy scheduled PI ...
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Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS
... Abstract: For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed and high power mechanical system. Poor working conditions result in ...
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Artificial Intelligence and its Application as an Integrated Approach
... The use of artificial intelligence is investigated as thebasis to mitigate the problems of accounting databases.The following are some difficulties with existingaccounting database systems.The needs of decision makers ...
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Review on Face Recognition Using Fuzzy Logic and Neural Techniques Pooja, II Shaloo Kikan Student M.Tech., Electronics & Communication Engg., P.D.M. College, Bahadurgarh, India
... A problem of personal verification and identification is an actively growing area of research. Face, Voice, Lip Movements, Hand geometry, Odors, Gait, Iris, Retina, Fingerprint are the most commonly used authentication ...
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Solving fully fuzzy linear programming
... of fuzzy numbers and fuzzy arith- Zadeh [36], Dubois et ...on fuzzy numbers and fuzzy arithmetic. Fuzzy systems are used to study a variety of problems ranging from fuzzy ...
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A Machine Learning Approach for Secure Intrusion Detection in Wireless Sensor Networks
... 1) Neural Network Approach: In the neural system approach to deal with intrusion detection, the neural system figures out how to predict the nature of the different clients and daemons ...
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