fuzzy neural network design
To Design and Implement Neural Network and Fuzzy Logic for Software Development Effort Prediction
... a fuzzy logic for software development effort ...using fuzzy logic and neural network models and the results of fuzzy logic will be compared with RBNN based upon various parameters such ...
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Adaptive filtering using Lyapunov theory and artificial intelligent techniques
... Further investigations presented in this thesis include the theory and design of RBF neural network-based nonlinear adaptive filters with Lyapunov stability, fuzzy adaptive filters with [r] ...
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AN APPROACH FOR FEATURES MATCHING BETWEEN BILATERAL IMAGES OF STEREO VISION SYSTEM APPLIED FOR AUTOMATED HETEROGENEOUS PLATOON
... using fuzzy logic [12], and reliability prediction using requirement and object-oriented design metrics [15], along with their assumptions, capabilities, and ...[16], neural network ensemble ...
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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 alternative to ...
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FIR Digital Filter and Neural Network Design using Harmony Search Algorithm
... complex neural networks optimization algorithm plays a vital role in determining the weights and bias of the ...the neural network will give the same output even by introducing some amount of noise ...
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Online Full Text
... TSK-type fuzzy network control (ATFNC) system for synchronization of a coupled nonlinear chaotic ...The design of the proposed ATFNC system is comprised of a neural controller and a ...
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Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
... presents design of the system’s architecture and procedures performed by each component of the architecture during ...Neuro- Fuzzy-Genetic rules to make decision on diseases. 3.1 Neural ...
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Review Computer Network Routing with a Fuzzy Neural Network
... applied fuzzy reasoning enhanced by a neural ...experimental design having two factors was ...experimental design because of their high correlation to routing level ...computer network ...
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Control of Nonlinear Industrial Processes Using Fuzzy Wavelet Neural Network Based on Genetic Algorithm
... strategy, neural control system synthesis is performed in the closed-loop control system and e (t ) is used for tuning network weighs to provide appropriate control ...the design problem can be ...
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Design of Hybrid Fuzzy Neural Network for Function Approximation
... contrast, fuzzy logic provides an inference morphology that enables approxi- mate human reasoning capability to be applied in a fuzzy inference ...a fuzzy inference system employing fuzzy ...
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Smart Algorithms to Control a Variable Speed Wind Turbine
... adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive ...
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Adaptive Neuro-Fuzzy Systems
... of fuzzy systems (Zadeh, 1965; Ruspini et ...specify fuzzy sets to partition all variables and a sufficient number of fuzzy rules to describe the input/output relation of the problem at ...a ...
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Fuzzy Neural Network for Clustering and Classification
... Fuzzy Hyperbox Membership Function is very important in fuzzy min max neural network algorithm. The decision whether the given input pattern belongs to a particular class or cluster, thus ...
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Neural Network Regressions with Fuzzy Clustering
... hybrid neural network regression models with unsupervised fuzzy clustering is proposed for clustering nonparametric regression models for ...the neural network regression models is ...
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Artificial Intelligence and its Application as an Integrated Approach
... The goal of the NaturalLanguage Processing (NLP) is to design and buildsoftware that will analyze, understand, and generatelanguages that humans use naturally, so that eventuallyyou. Will be able to address your ...
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Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... type-2 fuzzy logic in which the gradient descend algorithm and the neuro- fuzzy-genetic hybrid approach have been used in order to teach the type-2 fuzzy ...
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Power Consumption Reduction for Wireless Sensor Networks Using A Fuzzy Approach
... proposed network architecture is depicted and is composed by several Environmental Monitoring Cells (EMCs) based on the IEEE ...wireless network for environmental monitoring proposed in this work is ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault detection/diagnosis schemes can be ...two ...
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A Technical Review on Intrusion Detection System
... Artificial neural networks (ANN) were developed as generalizations of mathematical models of biological nervous ...in neural network. The main processing elements of neural networks are called ...
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Implementing The Speaker Recognition Process In Python Using ‘Thuyg-20-Sre’ Data Set
... classification neural networks are essentially ...the network corresponds to the weight adjustment ...of neural network abbreviated as NN, the difficulty can be marked by making use of the ...
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