fuzzy system parameter optimization
Premise Parameter Optimization on Adaptive Network Based Fuzzy Inference System Using Modification Hybrid Particle Swarm Optimization and Genetic Algorithm
... dari Fuzzy Inference System (FIS) dan Neural Network (NN), yang memiliki dua parameter pelatihan, yaitu parameter premis dan ...Swarm Optimization (PSO) dapat konvergen dengan cepat ...
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Optimization Fuzzy Inference System based Particle Swarm Optimization for Onset Prediction of the Rainy Season
... The next stage for optimizing the component function from every input and output variables used PSO. For this research, the PSO process is used refer to [21]. Next the parameter explanation that is used to PSO. ...
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Optimization of Fuzzy Controller Parameter by Using A Firefly Algorithm
... paper, fuzzy controller (Mamdani type) to control of liquid level and temperature in tanks are ...present optimization of Mamdani-type fuzzy regulator parameters using ...Section2, system ...
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Boiler Drum Parameter Optimization by Fuzzy PID Control Technique
... controlled parameter is the water level in the ...second parameter thus is the pH of ...third parameter is Total Dissolved Solids (TDS) that directly decides the quality of ...acquisition ...
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Optimization study of fuzzy parametric uncertain system
... nonlinear system have many problems such as uncertainty, disturbance, unknown exact mathematical model ...nonlinear system defined in terms of mathematical model doesn't have the exact parameter the ...
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Title: Improve DC Motor System using Fuzzy Logic Control by Particle Swarm Optimization in Use Scale Factors
... In(2014) Manoj Kushwah and Prof. Ashis Patra et al. [8] They discussed the Tuning study of the integral derivative (PID). Control for speed control of DC motor. Using soft computing techniques. The AC motor is widely ...
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Implementation, integration, and optimization of a fuzzy foreground segmentation system
... each parameter representing an allele, the en- vironment is the system itself, and fitness is an evaluation function of the system input and output determined by optimization ...
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Optimization Study of Fuzzy Parametric Uncertain System with Observer
... hydraulic system, ...nonlinear system. The most important part in nonlinear system is ...non-linear system can be strongly depends on either one or more parameter since their operative ...
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Predicting the Collapsibility Potential of Unsaturated Soils Using Adaptive Neural Fuzzy Inference System and Particle Swarm Optimization
... input fuzzy inference system in the Mamdani method [11]; the activities by Momeni et ...the fuzzy system ...for system reliability analysis of slopes ...
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Fuzzy Controller Parameter Optimization Using Genetic Algorithm for aReal Time Controlled System
... Several studies have shown FC to be an appropriate method for the control of complex or partially identified processes, many of which cannot easily be modeled in a mathematical way. Unlike a conventional controller, no ...
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A Fuzzy-GA Approach for Parameter Optimization of A Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children
... proposed fuzzy expert system for diagnosing acute lymphocytic leukemia in this study is to assist medical specialists for diagnosis of the disease in the early stage of its ...Using optimization ...
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A fast learning network with improved particle swarm optimization for intrusion detection system
... Aburomman, A. A., & Ibne Reaz, M. Bin. (2017). A novel weighted support vector machines multiclass classifier based on differential evolution for intrusion detection systems. Information Sciences. ...
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An Adaptive Fuzzy Logic Controller Trained by Particle Swarm Optimization for Line of Sight Stabilization
... global optimization capability, the genetic algorithm (GA) has become a useful tool for the automatic design of fuzzy control ...the system model is unknown, gradient computation is ...swarm ...
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A modified particle swarm optimization algorithm for parameter estimation of a biological system
... biological parameter esti- mation are said to be NP hard, so they are multi-modal and ill conditioned ...gradient optimization methods often fail to reach the true solution due to its high sensitivity to ...
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Advanced Optimization of Single Area Power Generation System using Adaptive Fuzzy Logic and PI Control
... generation system are time-variant and are influenced significantly by external ...dynamic system can be addressed using Fuzzy Logic ...plant optimization problems in many different ways such ...
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LP problems constrained with D-FRIs
... paper, optimization of a linear objective func- tion with fuzzy relational inequality constraints is in- vestigated where the feasible region is formed as the in- tersection of two inequality fuzzy ...
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Optimal parameters of the SVM for temperature prediction
... However, parameter selection was a procrastination- inspiring and time-consuming process because it cannot be screened ...and parameter optimization was the research topic when SVM was applied to ...
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Optimization of Algorithms and Parameter Settings for an Enterprise Expert Search System
... search system we apply the proximity-based model for associating terms, whereas among many other TREC participants it was used to identify term-candidate ...
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... swarm optimization [8,9], hybrid PSO and sequential quadratic programming (PSO-SQP) [10], evolutionary strategy optimization (ESO) [12], self organizing hierarchical PSO (SOHPSO) [14] and new PSO (NPSO) ...
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A Multi objective QoS Optimization with Fuzzy Based Parameter Setting for Real Time Multicasting
... We have proposed a multi-objective multicast model for wireless ad-hoc network using GA. In this model we have considered five QoS parameters such as bandwidth, end-to-end delay, jitter, packet loss rate and blocking ...
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