Fuzzy Logic and Neural Networks
Rainfall Runoff Relationship using Neural Networks and Fuzzy Logic
... as fuzzy logic, Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System have emerged to model the various hydrological ...Artificial neural networks (ANNs) have ...
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Intelligent Control of SIRES Using Neural Networks and Fuzzy Logic
... models, neural networks, expert systems, fuzzy logic, statistical learning algorithms and others are widely used for fore- ...methods, neural networks have been universally ...
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Overview of the Artificial Neural Networks and Fuzzy Logic Applications in Operational Hydrological Forecasting Systems
... stations networks and high resolution grided data from radars and satellites, together with the use of distributed hydrological models, the warning and forecasts improvements are not very significant, in many ...
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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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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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C++ Neural Networks and Fuzzy Logic Valluru B Rao pdf
... The delta rule is also known as the least mean squared error rule (LMS). You first calculate the square of the errors between the target or desired values and computed values, and then take the average to get the mean ...
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Pancreatic Cancer Detection and Diagnosis Expert System using Artificial Neural Networks and Fuzzy Logic Techniques
... artificial neural network and fuzzy logic in pancreatic disease diagnosis based on a set of ...using neural network over manual detection ...
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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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A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System
... Fuzzy logic offers a good solution for posing a query in terms of natural language based on the various features of an ...image. Fuzzy logic has been extensively used at various stages of ...
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An Approach to Management of Health Care and Medical Diagnosis Using of a Hybrid Disease Diagnosis System
... learning and training phase before the diagnosis. A collection of video data that represents a disease is suspected for the training phase. This collection of data can be extracted using principal component analysis ...
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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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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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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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“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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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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A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing
... artificial neural network has been widely ...hand fuzzy logic (FL) and genetic algorithm (GA) are least ...forward neural networks are most commonly ...artificial neural ...
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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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PERFORMANCE ANALYSIS USING ARTIFICIAL INTELLIGENCE IN WIRELESS NETWORK SYSTEM AND ITS BENEFITS
... theory, neural networks, the support vector machine and the Markov ...Bayesian networks, fuzzy logic, and case- based ...(a) fuzzy logic, (b) genetic algorithms, (c) ...
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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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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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