Fuzzy Neural Network
An Efficient Method for Selecting the Optimal Structure of a Fuzzy Neural Network Architecture
... artificial neural networks with soft computing enables to construct learning ma- chines that are superior compared to classical artificial neural networks because knowledge can be extracted and explained in ...
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Design of Hybrid Fuzzy Neural Network for Function Approximation
... hybrid Fuzzy Neural Network (FNN) system for function approximation is ...and fuzzy inputs ...the network while the Fuzzy rule based knowledge is translated directly into ...
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Applied Research of Fuzzy Neural Network Algorithm in Teaching Evaluation
... the neural network to the classroom teaching quality ...the neural network in the teaching evaluation in terms of the idea and ...the neural network, this paper proposes a ...
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Numerical solution of hybrid fuzzy differential equations by fuzzy neural network
... fully fuzzy neural networks with fuzzy connection weights is long computa- tion ...partially fuzzy neural network (PFNN) architec- ture where connection weights to output unit ...
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Numerical solution of fuzzy differential equations under generalized differentiability by fuzzy neural network
... a fuzzy differential equation by using the strongly generalized differen- tiability ...of fuzzy neural network for the solution of differential equation with fuzzy initial value is ...
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Improving Image Classification using Fuzzy Neural Network and Backtracking Algorithm
... the neural network and fuzzy logic ...However, fuzzy logic technique is more accurate but it fully depends on expert knowledge, which sometime may not always available [13, ...[11]. ...
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An Image Compression Scheme Based on Fuzzy Neural Network
... the network input layer and output layer are respectively composed of same M neurons, and neuron number K of the middle layer is smaller than M Provide the same learning mode in the input layer and output ...
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Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor
... According to this article, the date which is used to analysis comes from the Case Western Reserve university provides in the network. Gather the asynchronous machine four condition’s signals as normal, rolling ...
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Fuzzy Neural Network Models For Multispectral Image Analysis
... a fuzzy neural network model using a back- propagation learning ...suggested fuzzy-neural network models for supervised and unsupervised ...implements fuzzy inference ...
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Evolving Fuzzy Neural Network for Phishing s Detection
... Abstract: One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been ...
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Real Time Results of a Fuzzy Neural Network Active Noise Controller
... neural networks, such as, multi-layer perceptron, radial basis function networks, and fuzzy neural network (FNN), etc. can be selected. In this paper, the FNN is used as a non-linear filter. A ...
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Fuzzy Neural Network for Clustering and Classification
... a fuzzy neural network for clustering and ...this fuzzy neural network two training algorithm are implemented for clustering and ...General Fuzzy min max Neural ...
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An Improved Fuzzy Neural Network for Solving Uncertainty in Pattern Classification and Identification
... Unsupervised Fuzzy Neural Network (UFNN) of Kwan and Cai, and compose a new FNN with 6 types of fuzzy neurons and its associated self organizing supervised learning ...Supervised Fuzzy ...
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Electricity Price Forecasting using Asymmetric Fuzzy Neural Network Systems
... Based on this configuration, AGFINN model has been involved in forecasting the maximum (22h) and minimum (04h) price respectively. Best results were produced by including 20 fuzzy rules for the case of 22h, while ...
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Utilizing a new feed-back fuzzy neural network for solving a system of fuzzy equations
... the fuzzy delta learning rule such that the input-output relation of each unit was defined by the Zadeh extension principle ...feed-forward fuzzy neural networks to find a real solution of a ...
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Review Computer Network Routing with a Fuzzy Neural Network
... The proliferation of computer networks increases the need for improved network management techniques. As computer networks expand, they become more complex as they attempt to support a more diverse selection of ...
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A Recommender System for Web Mining using Neural Network and Fuzzy Algorithm
... using fuzzy –neural ...using fuzzy clustering method. Then, by using fuzzy inference system, fuzzy rules based on related clusters and user’s interests are extracted and after acquiring ...
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Hybrid Power Systems Energy Controller Based on Neural Network and Fuzzy Logic
... 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- voltaic (PV) ...
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A spatial neural fuzzy network for estimating pan evaporation at ungauged sites
... The aforementioned research provided evidences of the estimation and/or prediction of evaporation only at gauged sites using ANNs. In this study, a hybrid computational model is proposed by combining the ANN and kriging ...
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Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic
... In this research work, Functional Update Back Propagation Algorithm [13], Locally Weighted Projection Regression and Fuzzy Logic have been implemented. All the algorithms are able to train the lock status and ...
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