fuzzy neural logic networks
Rainfall Runoff Relationship using Neural Networks and Fuzzy Logic
... Artificial Neural Networks, Fuzzy Logic, Adaptive Neuro- Fuzzy Inference System have emerged to model the various hydrological ...Artificial Neural Networks and ...
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A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing
... multimedia networks using soft computing techniques like artificial neural networks, fuzzy logic, and genetic ...multimedia networks to improve the capability of existing CAC ...
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Managing business processes using soft computing techniques – a literature review
... are Fuzzy logic (FL) and neural networks ...both Fuzzy logic and Neural Network techniques were tried to be captured and ...which fuzzy logic and ...
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Intelligent Control of SIRES Using Neural Networks and Fuzzy Logic
... Intelligent control constitutes of two main parts: Neural Network Forecasting and Fuzzy Logic Controller. Figure 2 summarizes the control approach for SIRES. Historical demand data as well as weather ...
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Design and development of artificial intelligence system for weather forecasting using Soft Computing Techniques
... as Neural Networks, Fuzzy Logic and Probability Theory which are suitable to these meteorological processes for prediction of an important weather parameter that is ...artificial neural ...
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PERFORMANCE ANALYSIS USING ARTIFICIAL INTELLIGENCE IN WIRELESS NETWORK SYSTEM AND ITS BENEFITS
... radio networks, resources, objectives, limits and ...and fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, Vector Machine support, case-based ...
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Improving the Performance of Electronic Systems Using Matlab As A Simulation Tool
... A very important feature of MATLAB is a collection of increasingly Add-On – Application specific solutions referred to as Tool Boxes. These are comprehensive collections of MATLAB functions referred to as M.-files. ...
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Load Frequency Control In Conventional And Distributed generation Power System: A Literature Survey
... as neural networks, fuzzy logic and genetic algorithms to tackle the difficulties associated with the design of LFC controllers for power systems with nonlinear models and/or insufficient ...
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An Approach to Management of Health Care and Medical Diagnosis Using of a Hybrid Disease Diagnosis System
... artificial neural networks, applicable to many applications, but it only deals with crisp values that are not appropriate in programs based on lack of precision or ...artificial neural ...
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Intelligent System for Efficiency Enhancing Program of Thermal Power Plant: A Case Study
... Soft computing is oriented towards the analysis and design of intelligent systems. It is based on fuzzy logic, artificial neural networks and probabilistic reasoning including genetic ...
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Power system stabilisers using fuzzy logic and neural networks
... conventional adaptive confroUers. In tiie adaptive control literamre, k is weU known.. 8.20 The output of the direct FPSS without on-line adaptation for the new operating condition and [r] ...
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Application of fuzzy logic technology for spatial load forecasting
... cannot handle the huge amount of data wlthout help from other appropriate technologies. Different technologies such as fuzzy logic, neural networks, distributed data [r] ...
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A review of emerging techniques on generation expansion planning.
... This paper will describe these emerging optimization techniques, including expert systems, fuzzy logic, neural networks, analytic hierarchy process, network flow, deco[r] ...
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Intelligent Computational Techniques for Crops Yield Prediction and Fertilizer Management over Big Data Environment
... with Fuzzy Logic, Neural Networks and Machine Learning for Agriculture Paper Concept: This paper resolves the problem arisen by farmer‟s decision making for agriculture applications since crop ...
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Curriculum Vitae (Resume)
... <> Developing Education Software for Fuzzy Logic and Artificial Neural Networks”, Master of Science Thesis, Afyon Kocatepe University – Institute of Science and Techno[r] ...
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“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”
... artificial neural networks (ANN), fuzzy logic, genetic algorithms (GA),Adaptive Neuro fuzzy inference system (ANFIS), ANFIS+GA and their response surface methodology are ...
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Soft Computing Approaches for Human Action Recognition: A Review
... like neural networks, support vector machine, genetic algorithm, fuzzy logic, and combination of these techniques as per requirement of their properties are used for the solving real life ...
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Artificial Intelligence Tools Aided decision for Power Transformer Fault Diagnosis
... with fuzzy logic (using Gaussian, trapezoidal and triangular membership functions), neural networks (MLP and RBF) and Support Vector Machine (with polynomial and Gaussian kernel ...
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An Overview Of Computational Intelligence
... as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent ...
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Artificial Intelligence Applied to Project Success: A Literature Review
... EPSPM, fuses several artificial intelligence algorithms: genetic algorithms (GAs) for optimization, fuzzy logic (FL) for reasoning and neural networks (NN) for mapping inputs and outputs. ...
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