hybrid fuzzy-evolutionary system
An Evolutionary Fuzzy Expert System for the Diagnosis of Coronary Artery Disease
... The genetic swarm algorithm (GSA) has been proposed in [3], for obtaining near rule set and membership function tuning. The convergence of genetic swarm algorithm and their classification accuracy were improved by using ...
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Evolutionary algorithm for intelligent hybrid system training
... The combined operator of mutation allows restoring and adding new genetic material to the population of solutions. Probability of mutation application, as a rule is no more than 1% [22]. We suggest combining single-point ...
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Evolutionary Fuzzy Cognitive Maps: A Hybrid System for Crisis Management and Political Decision Making
... Neuron Fuzzy Cognitive Maps (CNFCMs) used in crisis management and decision-making, aiming at increasing their ...Neuron Fuzzy Cognitive Map (GECNFCM) as it is introduced here is to overcome the main ...
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Survey on Various Types of Noise and Methods for Noise Removal
... agents, evolutionary computing, fuzzy systems, neural network, hybrid systems, swarm intelligent systems and many ...processing, evolutionary systems, imprecision and uncertainty handling, ...
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Hybrid soft computing systems for electromyographic signals analysis: a review
... In the meantime, with the rapid advance of soft computing (SC) techniques, a sub- stantial amount of research efforts has been directed to its application in EMG-related pattern classification and regression problems. ...
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A NOVEL PREPROCESSING SYSTEM USING EVOLUTIONARY NEURO FUZZY SYSTEM
... An evolutionary neuro-fuzzy system (ENFS) is the result of adding evolutionary hunt procedures to systems, integrating fuzzy logic computing and neural ...
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Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction
... include Evolutionary Computation, Neural Networks,Fuzzy Logic Systems, Hybrid Computational Intelligence and their applications in time-series prediction, system identification, intelligent ...
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A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms
... on fuzzy rules and diffuse genetic systems, image processing through deep learning and massive data ...systems, hybrid system and combination of evolutionary algorithms and neural ...
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A Survey on Advanced Segmentation Techniques for Brain MRI Image Segmentation
... a system of a hybrid geometrical deformable model for the automatic segmentation of brain tissues of 3D Brain MRI ...and Fuzzy C-Means (FCM) algorithm, using which the tumor regions of the brain are ...
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Adaptive and intelligent navigation of autonomous planetary rovers – a survey
... A hybrid approach called R-SLAM, which combines both feature and grid-based methods for the generation of consistent and high resolution maps, is presented in ...The hybrid nature of this approach restricts ...
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Proposing a Novel Cost Sensitive Imbalanced Classification Method based on Hybrid of New Fuzzy Cost Assigning Approaches, Fuzzy Clustering and Evolutionary Algorithms
... new hybrid methodology is introduced to design a cost-sensitive fuzzy rule-based classification ...a hybrid of fuzzy c-means clustering and particle swarm optimization algorithm is ...This ...
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An Efficient Preprocessing Technique for Noise Reduction in Ear Verification System
... Interface System (ANFIS) detects noisy pixels in ear image and then, Fuzzy Wavelet Shrinkage (FWS) will change only noisy ...verification system using efficient noise reduction from ear images with ...
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Satisfying flexible due dates in fuzzy job shop by means of hybrid evolutionary algorithms
... for fuzzy schedules from [33] by which solutions to the fuzzy job shop should be understood as a-priori solutions, also called baseline or predictive schedules in the lit- erature ...the fuzzy ...
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Forecasting Fuzzy Delphi and Hybrid intelligent system for ERP Architecture through the Scientific Private Cloud
... a hybrid system based on the Fuzzy Delphi method, fuzzy clustering and Back-propagation Neural Networks with an adaptive learning rate (FCBPN) for sales ...proposed system ...
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Hybrid Fuzzy Control System for Power Control of Grid Connected PV System
... of hybrid fuzzy control system for grid-tie ...control system developed has better response time due to external interrupt ...control system and phase control system keep the ...
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1. A frgsnn hybrid feature selection combining frgs filter and gsnn wrapper
... used fuzzy rough with genetic search as filter method (FR-GS), evolutionary wrapper method (GS-NN) and a hybrid method (FR-GS-NN) to select potential genes from the ...
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Congestion Control by Optimal Engagement of Distribution Generation using Hybrid Evolutionary Algorithm
... power system and several noteworthy attempts have been made to define its ...power system framework [4]. The role of the DGs in the power system framework has gained a significant importance and has ...
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Power System Transient Stability Analysis Based on Evolutionary Interval Type-2 Fuzzy Logic Controller and GA System
... electrical system reliability is to keep the synchronous generators working in parallel and with adequate capacity to satisfy the load ...the system, significant voltage and current fluctuation can occur ...
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Voltage Control Strategy of AC-DC Hybrid Generation System for Uninterrupted Supply of Power
... Operation ofmicro grid requires implementation of high performance power control and voltage regulation algorithm [1]-[5]. This concept permits high penetration of distribution generation without considering redesign of ...
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Environmental Sensor Drift Correction using Wavelet mFCM FIS Architecture: An Unsupervised Machine Learning Approach
... novel hybrid sensor informatics architecture based on Discrete Wavelet Transform (DWT), Fuzzy logic based clustering (FCM) and Adaptive Fuzzy Rule based Inference system (FIS) has been ...
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