[PDF] Top 20 Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process

Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process

... a perpetual learning ...unnecessary complex system that is difficult to optimise, and its predictive performance may ...redundant fuzzy sets, 2) merging similar fuzzy ... See full document

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Power System Transient Stability Analysis Based On Interval Type-2 Fuzzy Logic Controller And Genetic Algorithms

... interval type-2 FLC works as follows: the crisp inputs from the input sensors are first fuzzified into input type-2 fuzzy sets; singleton fuzzification is usually used in interval ... See full document

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Power System Transient Stability Analysis Based on Evolutionary Interval Type-2 Fuzzy Logic Controller and GA System

... interval type-2 FLC works as follows: the crisp inputs from the input sensors are first fuzzified into input type-2 fuzzy sets; singleton fuzzification is usually used in interval ... See full document

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“Interval Type-2 Fuzzy Logic Rule based Data mining for Steam Turbine Fault Analysis of a Power System Rotatory Machine Component”

... acquisition system could soon store hundreds of ...machine learning tool. This paper describes Fuzzy decision tree classifier using interval type-2 fuzzy logic rule ... See full document

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Efficient Hybrid Control of Shell and Tube Heat Exchanger Using Interval Type-2 and Adaptive Neuro Fuzzy Based Fuzzy Inference System

... the fuzzy sets, fi is the outputs within the fuzzy region specified by the fuzzy rule, pi, qi and ri are the design parameters that are determined during the training process (Widrow et ...the ... See full document

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Empirical evaluation of mixed approach in adaptive hypermedia learning system

... on learning has shown that student learn more effectively when taught with methods that suits to their learning ...hypermedia learning system that exploit a mixed approach has been ...of ... See full document

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Online Full Text

... more complex than type-1 ...of type-2 is their antecedent and consequent ...than type-1 fuzzy logic systems (T1FLSs) on the applications of function approximation, ... See full document

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Learning of interval and general type 2 fuzzy logic systems using simulated annealing: theory and practice

... fuzzy logic is a growing research topic with much evidence of successful ...of type-2 fuzzy logic systems have been based on interval type-2 fuzzy ... See full document

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Identification of Question and Non Question Segments in Arabic Monologues Using Prosodic Features: Novel Type 2 Fuzzy Logic and Sensitivity Based Linear Learning Approaches

... the type-2 FLS-based model, the imple- mentation process proceeded by supplying the system with the available input data sets, one sample at a time, and the rules and membership ... See full document

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Risk Assessment of Natural Disasters Using Fuzzy Logic System of Type 2

... a fuzzy set. If the output from FLS provides a fuzzy set, such information will not be of great benefit to the decision maker, because the “middle level of risk” is a linguistic term and the decision-maker ... See full document

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Type 2 fuzzy elliptic membership functions for modeling uncertainty

... Fuzzy logic has had a significant impact on identification and control prob- lems since it was firstly proposed by Zadeh in 1965 ...[1]. Fuzzy logic owes its exceptional scientific reputation ... See full document

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Application of Type-1 and Type-2 Fuzzy Logic Controller for The Real Swarm Robot

... the fuzzy logic method in the navigation task has been analyzed by a lot of previous ...sensor-based fuzzy sensor wireless for mobile robot navigation tasks between static and moving ...the ... See full document

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An Enhanced Approach to Query Optimization in Homogeneous Distributed Databases

... Ryan et al [4] looked at Neo: A learned Query Optimizer. They introduced Neo (Neural Optimizer), a novel learning- based query optimizer that relies on deep neural networks to generate query executions ... See full document

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Analyzing Effort Estimation in Multistage based FL COCOMO II Framework using various Fuzzy Membership Functions

... the Fuzzy Logic-COCOMO II (FL-COCOMO II), fuzzy sets in EMs, SFs, and software size attributes can be specified by distribution of their possible values instead of using fixed ...under 2 ... See full document

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An Efficient framework for E Learning Recommendation system using fuzzy Logic and Ontology

... describe Fuzzy Logic offer a various way to approach a control or classification ...the system should do rather than trying to model how it ...the system mathematically, if that is even ...the ... See full document

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Landing on the moon with type-2 fuzzy logic

... used type- 2 fuzzy control structure to the lunar lander ...novel type-2 fuzzy moon landing control system which is composed of two key blocks, namely the error signal ... See full document

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LOAD FREQUENCY CONTROL OF FOUR AREA POWER SYSTEM USING ARTIFICIAL INTELLIGENCE

... the fuzzy logic controller (FLC) and the dynamic responses are observed after ...FLC(Fuzzy Logic Controller) is designed with ACE and ∫ ACE as the ...the Fuzzy Logic Controller ... See full document

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Interval type 2 intuitionistic fuzzy logic system for non linear system prediction

... prediction based on a new interval type-2 intuitionistic fuzzy logic system (IT2IFLS) of Takagi-Sugeno-Kang (TSK) fuzzy ...designed system using two synthetic ... See full document

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Fuzzy logic based automation and control simulation of Sulfuric acid manufacturing process: A case study

... complete fuzzy logic system. It supports various fuzzy logic inference methods and ...a fuzzy logic system design is the definition of the system ...the ... See full document

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Type-2 Fuzzy Braking-Torque Electronic Stability Control for Four-Wheel Independent Drive Electric Vehicles

... (ESC) system is one of the most important active safety systems in ...control system based on Type-2 fuzzy logic ...Since, Type-2 fuzzy controller has ... See full document

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