fuzzy/neural based systems
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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Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks
... water level gauging stations that belong to two sub-drainage systems. The learning target of the RNN model was the wa- ter level observations of YC10. To obtain 5- to 20-min-ahead water level predictions, this ...
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Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches
... The programming language used for developing the automated heart disease diagnosis system is MATLAB, which is a powerful language for data analysis and visualization. There are many programming languages used in data ...
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Intelligent System for Efficiency Enhancing Program of Thermal Power Plant: A Case Study
... intelligent systems. It is based on fuzzy logic, artificial neural networks and probabilistic reasoning including genetic ...intelligent systems,aimed at a formalization of the ...
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Adaptive and intelligent navigation of autonomous planetary rovers – a survey
... with fuzzy systems and neural networks (these are further discussed ...manual fuzzy, genetic algorithm-based fuzzy, PSO-based fuzzy, and neuro-fuzzy) to ...
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Survey on Various Types of Noise and Methods for Noise Removal
... Intelligent systems are capable to provide efficient and powerful decision making in real ...intelligent systems which are not available in traditional information ...expert systems, natural language ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... the Fuzzy Adaptive Learning Control/Decision Network (FALCON)-Based Fault Detector (FFD), and the Adaptive-Network-Based Fuzzy Inference System (ANFIS)-Based Fault Detector ...
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Knowledge Extraction in Fuzzy Relational Systems Based on Genetic and Neural Approach
... for fuzzy relation matrix identification is accomplished in two ...the fuzzy knowledge base and elements of the relational matrix are defined using the genetic ...
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On hybrid intelligence-based control approach with its application to flexible robot system
... the fuzzy-based concepts can be discussed in the area of control systems of smart ...The neural network is used to design the control system of a flexible robot ...artificial neural ...
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Study of Existing Work on Soft Computing Methodologies and Fusion of Neural Network and Fuzzy Logic for Estimation and Approximation
... real-time systems have one thing in common and that is the existence of ...gave fuzzy set theory to the world of research. Fuzzy set theory gave a direction to support large number of applications ...
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Knowledge Based Deep Learning Collaborative Filtering (KBDLCF)
... access systems to boost business and facilitate decision-making ...Knowledge Based Deep Learning Collaborative Filtering has been ...of fuzzy logic and neural networks in order to improve CF ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the ...
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A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System
... language based on the various features of an image. Fuzzy logic has been extensively used at various stages of image retrieval such as region groupings within the images as a feature extraction technique, ...
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Evolving Intelligent Systems, eIS
... evolving systems paradigm mimics the evolution of individuals in the Nature during their life-cycle, especially humans: learning from experience, inheritance, gradual change, knowledge generation from routine ...
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Modelling of Metallurgical Processes Using Chaos Theory and Hybrid Computational Intelligence
... Intelligence Systems approach which is based on neural networks, fuzzy sets, genetic algorithms and chaos theory has been applied to tackle this problem In this framework first a feed-forward ...
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A SYSTEMATIC REVIEW OF MOBILE BASED ASSESSMENT ACCEPTANCE STUDIES FROM 2009 TO 2019
... using fuzzy logic is to integrate fuzzy logic with neural networks to produce a hybrid neuro-fuzzy model that can help in curtailing the risk of ...hypertension. Neural networks are a ...
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Optimized Scheduling of Generating Unit for Economic Load Dispatch using Neuro Fuzzy Expert Systems
... Neuro Fuzzy Systems generally are based on expert view or fuzzy logic for deciding the thresholds or ...to neural network for ...
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Identification of piecewise affine systems based on fuzzy PCA guided robust clustering technique
... Hybrid systems are a class of dynamical systems whose behaviors are based on the interaction between discrete and continuous dynamical ...hybrid systems is not available, some researchers have ...
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Neuro-Fuzzy Scheduler for the Control of Real Time Spherical Tank Process
... The most common inference system used in ANFIS is a first order Sugeno-type FIS which is in the form of relation. During the training procedure, rule parameters including antecedent parameters and consequent parameters ...
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Vol 2, No 11 (2014)
... RADR control is Han’s way out of the robust control paradox [14-16]. The term was first used in [17] where his unique ideas were first systematically introduced into the English literature. Originally proposed using ...
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