neural-fuzzy network method
Provision of a New Method to Improve the Detection of Micro Seismic Events
... existing fuzzy rules, in the end, MLP and RBF neural network algorithms are combined in the form of a combined collective learning system and level of seismic events are detected more ...the ...
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Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method
... ANFIS method has all the advantages possessed by fuzzy inference system and artificial neural network ...ANFIS method it is expected that the time required to forecast the electrical ...
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Real Time Dynamics Signature Verification
... I1 LITERATURE REVIEW 2.1 Introduction 2.2 Brief History of Signature Verification 2.3 Literature Review 2.3.1 Types of signature forgery 2.3.2 Fuzzy Neural Network Method 2.3.3 Neural Ne[r] ...
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Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System
... where fuzzy actions are reconverted to crisp ones, the “center of area” method has been ...this method, first each affected output membership function is cut at the strength indicated by the previous ...
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Modeling of Stripper Temperature based on Improved T-S Fuzzy Neural Network
... toxicity of vinyl chloride monomer in PVC resin products, the concentration of VCM residual must be properly controlled within a certain range. For this purpose, stripping process is normally developed to strip such ...
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Quantum Ant Colony Optimizing Theory and Its Application in Fuzzy Pattern Recognition Method of Flatness
... recognition method is proposed based on quantum ant colony ...BP neural network and fuzzy recognition method, the validity of quantum ant colony theory applied in flatness pattern ...
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Neural Network Regressions with Fuzzy Clustering
... proposed method are close to 100% for all datasets in the testing ...with fuzzy membership ...the fuzzy clustering and neural network components once and only ...the neural ...
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An Efficient Method for Selecting the Optimal Structure of a Fuzzy Neural Network Architecture
... artificial neural networks. An effective method to describe the general principle of inductive inference in different machines was developed by Vapnik and Chervonenkis at the end of the ...
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Evaluating the Network and Information System Security Based on SVM Model
... the method function, firstly, we evaluate the test sample based on the fuzzy neural network (FNN) method, and the result is the exact same as the self-adapting regression SVM; then ...
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Design of Hybrid Fuzzy Neural Network for Function Approximation
... as fuzzy inputs, Numeric inputs are first fuzzified so that all outputs transmitted from the input layer of the network are ...also fuzzy, this requires the design of a method to transmit a ...
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Neural Network Approaches for Software Development Time Estimation: A Review
... - fuzzy model for software project development ...estimation method show the proposed ANFIS model gives new approach and ideas as compared to different types of neural network ...proposed ...
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Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... the Fuzzy method is its ability to work with approximate data and find explicit ...the Fuzzy set is an appropriate method for the analysis of complex systems and decision ...values, ...
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Optimal Method for Identification of Cracks in Different Beams using Fuzzy with Elephant Based Neural Network
... Dasaripalle Pitchaiah and Putti Srinivasa Rao [26] investigated that the impact of a break on the vibration of a structure is a customary issue, and diverse models from the basic strength diminishment strategy in ...
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Numerical solution of fuzzy differential equations under generalized differentiability by fuzzy neural network
... differential equations (DEs), which have to nu- merically solved such as heat transfer, solid and fluid mechanics. Numerical methods of predictor- corrector, Runge-Kutta, finite difference, finite element, finite volume, ...
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To Design and Implement Neural Network and Fuzzy Logic for Software Development Effort Prediction
... a fuzzy logic for software development effort ...proposed method accurate effort estimation will be done by using fuzzy logic and neural network models and the results of fuzzy ...
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Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor
... BP neural network to diagnostic motor fault, but due to non-stationary signals resulting in diagnostic ...BP neural network to diagnose motor fault, but BP neural network is easy ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... a fuzzy comprehensive evaluation model, based on the theory of fuzzy ...RBF neural network model and data envelopment analysis method with fuzzy comprehensive evaluation model, ...
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Deduction of reservoir operating rules for application in global hydrological models
... evolution metropolis (SCEM-UA) method (Vrugt et al., 2003) to calculate the optimal release within a predetermined daily feasible release range, based on the reservoir purpose. Adam et al. (2007) use this ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... introduce fuzzy neural network’s basic principle; secondly to use 60 days numerical weather prediction (NWP) data and power data, from ...of fuzzy neural network to train the ...
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A Convolution Neural Network Based Deep Learning System for Brain Tumor Detection towards MRI Image Segmentation
... Gaussian method uses cumulative region based segmentation method where the expected tumor region is marked out ...segmentation method. It is also classified as a pixel-based image segmentation ...
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