fuzzy logic-based neural
A Neuro-Fuzzy Case Based Reasoning Framework for Detecting Lassa Fever Based on Observed Symptoms
... that fuzzy logic and rule- based techniques are the only artificial intelligence supported approach that has been used to develop an expert system for diagnosing the dreaded Lassa fever as an ...
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The Prediction of Needle Penetration Force in Woven Denim Fabrics Using Soft Computing Models
... fabrics based on sewing parameters by using the fuzzy logic (FL) ...of fuzzy logic model is compared with that of the artificial neural network (ANN) ...the fuzzy ...
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Intelligent Control Algorithm for Maximum Power Point Tracking of PV Arrays
... – Fuzzy logic and Artificial Neural Network are use for MPPT of PV ...array. Fuzzy logic does not need the knowledge of exact model of the system and uses heuristic reasoning ...
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“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”
... Research based on various approaches, including Taguchi technique, artificial neural networks (ANN), fuzzy logic, genetic algorithms (GA),Adaptive Neuro fuzzy inference system (ANFIS), ...
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Adaptive and intelligent navigation of autonomous planetary rovers – a survey
... a fuzzy unscented Kalman filter handles feature location ...of fuzzy logic to localization was further extended in [51], where a neuro-fuzzy system was developed for the purpose of slip ...the ...
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Received: November 27, 2020, Revised: December 16, 2020, Accepted: December 18, 2020, Available Online: December 19, 2020
... efficiently, fuzzy logic based handoff decision algorithm, adaptive handoff threshold level using neural network and priority based dynamic channel allocation algorithm using ...
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Comparative Analysis Of Image Segmentation Techniques And Its Algorithm
... segmentation based on Region Based, Edge Detection, Thresholding, Clustering, Fuzzy Logic and Neural Network are discussed and ...mainly based on two properties similarity and ...
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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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Managing business processes using soft computing techniques – a literature review
... of neural networks are based on historical data of the process (Walczak, 2001) and fuzzy logic finds its application in the treatment of linguistic variables through fuzzy numbers ...
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Boundedly rational learning and heterogeneous trading strategies with hybrid neuro-fuzzy models
... of fuzzy inference systems is their linguistic ...implementing fuzzy systems, the focus is paid on modeling fuzziness and linguistic vagueness using membership ...The fuzzy system approach has been ...
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Hybrid Power Systems Energy Controller Based on Neural Network and Fuzzy Logic
... requirements based on artificial neural network (ANN) and fuzzy logic ...The neural network controller is employed to achieve the maximum power point (MPP) for different types of photo- ...
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Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... artificial neural network, with corresponding experimental results in terms of absolute error % of prediction ...usually based on certain idealized assumptions, so their success potential is largely ...
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Rainfall Runoff Relationship using Neural Networks and Fuzzy Logic
... Fuzzy Logic decision involves the design of the IF-THEN rules, and the determination of output fuzzy ...on fuzzy sets , partial fulfillment of the conditions is ...determined based on ...
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Sugeno Type Fuzzy Inference Model for Stock Price Prediction
... a fuzzy engine model that acts as an expert indicator that can generate buy and sell ...The fuzzy engine model combines the most popular technical indicators with their firing strengths to provide a new ...
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Artificial Intelligence Applied to Project Success: A Literature Review
... optimization, fuzzy logic (FL) for reasoning and neural networks (NN) for mapping inputs and ...beings based on experience, as has traditionally been ...
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Navigation and Control of Automated Guided Vehicle using Fuzzy Inference System and Neural Network Technique
... Page 11 Figueiredo, et.al [10] describe a method to use intelligent agents for the control of a robot which has been simulated by a Khepera simulator. The intelligence of these agents is based on a Fuzzy ...
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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
... proposed Fuzzy Logic based Edge Detection Algorithm in MATLAB to detect the edges of input image by scanning it throughout by using 2*2 pixel ...using fuzzy rule based algorithm over ...
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Knowledge Based Deep Learning Collaborative Filtering (KBDLCF)
... Knowledge Based Deep Learning Collaborative Filtering has been ...of fuzzy logic and neural networks in order to improve CF recommender system that recommends items to the active user on the ...
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Performance Enhancement with Fuzzy Logic and Neural Fuzzy Logic Algorithm in Heterogeneous Interconnected Network
... &with Fuzzy based Traffic Sharing (Speed=25m/s) The graph in ...the fuzzy traffic sharing algorithm is ...with fuzzy traffic sharing the WLAN does not get any user as the speed of mobile ...
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Pancreatic Cancer Detection and Diagnosis Expert System using Artificial Neural Networks and Fuzzy Logic Techniques
... a neural network based approach for pancreatic cancer ...of fuzzy values incorporated into neural network system is more effecter than the normal system ...
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