fuzzy-neural network algorithm
Applied Research of Fuzzy Neural Network Algorithm in Teaching Evaluation
... corresponding fuzzy set of linguistic variables at this layer, and each node repre- sents a linguistic variable ...of fuzzy rules, which calculates the extent of application of each rule, and the number of ...
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MDAC Synapse-Neuron for Analog Neural Networks
... Circular-Mellin algorithm, 2. Canny edge detection algorithm, these two algorithms are used for detect the Iris boundaries, ...wavelet algorithm, 4. Embedded-tree zero wavelet algorithms, 5. ...
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A Recommender System for Web Mining using Neural Network and Fuzzy Algorithm
... Liu [11] has used a mixture of usage mining and content mining in order to predict users’ next requests. In this article, user sessions are acquired by record file preprocessing and by using techniques of usage mining on ...
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KNOWLEDGE-BASED NEURAL NETWORK FOR LINE FLOW CONTINGENCY SELECTION AND RANKING
... using fuzzy logic approach [15,16], thereby increasing the input dimension to ...supervised] algorithm for five- class classification task so that line (MW) PI may be ranked in different levels according to ...
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Implementation of Evolutionary Computing Techniques for Cancer Diagnosis Using Digital Signal Processor
... like Fuzzy Logic, Genetic Algorithm, Neural Network, and Adoptive Neuro-Fuzzy Inference System (ANFIS) for diagnosis of cancer using TMS320C6713 (Texas Instruments) DSP (Digital Signal ...
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A Survey of Image Segmentation Methods using Conventional and Soft Computing Techniques for Color Images
... parallel fuzzy C-Mean algorithm for brain tumor segmentation ...JSEG algorithm segments images of natural scenes properly, without manual parameter adjustment for each image and simplifies texture ...
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Performance Enhancement with Fuzzy Logic and Neural Fuzzy Logic Algorithm in Heterogeneous Interconnected Network
... homogeneous network environment particularly for ...with fuzzy estimation of links for heterogeneous wireless ...at network side without any interaction with the mobile ...detailed algorithm ...
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Intelligent optimization for support pressure zone algorithm based on fuzzy neural network damage identification
... dynamic algorithm for accurate scope of the SPZ based on structural damage identification has rarely been ...the fuzzy neural network (FNN) damage ...
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Diabetic prediction using fuzzy back propagation and analysis
... the fuzzy data is ...enhanced fuzzy back propagation neural network with triangular membership function and its comparative analysis with neural network, Naive ...best ...
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Diagnosis Techniques in Medical Technology using Soft Computing
... A Fuzzy clustering neural network algorithm was used for classifying ECG Beats by ...used fuzzy self organizing neural networks trained with Gustafson Kessel (GK) ...
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Vol 9, No 1 (2014)
... Genetic Algorithm provides evolutionary characteristics and hybridization with fuzzy logic and neural ...Genetic Algorithm along with advantages of Genetic ...Genetic Algorithm. It ...
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Implementation of Artificial Intelligence Technique to Regulate a DC-DC Converter for Transient Compensation
... are Fuzzy logic, Ant Algorithm, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Artificial Immune Systems (AIS), Artificial Neural Network (ANN) ...and Fuzzy logic ...
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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 ...genetic algorithm is used to ...
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Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor
... neural network. Then the data is trained by back propagation training algorithm with respect to the actual torque of ...the fuzzy interference system for generating the control fuzzy ...
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Survey on Credit Card Fraud Detection Methods
... mining, Neural Network, Bayesian Network, Fuzzy logic, Artificial Immune System, K- nearest neighbor algorithm, Support Vector Machine, Decision Tree, Fuzzy Logic Based System, ...
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Intelligent Decision Support Systems for Oil Price Forecasting
... intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil ...
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Intelligent PID Controller on Soft Computing
... In this paper, the parameters of PID controller are tuned for controlling some rock mechanics testing machine[4]. Conventional PID performance has been compared and analyzed with the intelligent tuning techniques like ...
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Application of Soft Computing approaches in Crop Irrigation: A survey
... are fuzzy logic, artificial neural network, genetic algorithm have shown great ability in solving problems in agricultural system such as crop selection, crop planning, irrigation planning, ...
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Assessment of Severity Level for Diabetic Macular Oedema Using Machine Learning Algorithms
... viz. Fuzzy K-means ...Cascade Neural Network and Partial Least Square which are employed to identify whether the image is normal or ...Cascade Neural Network and Partial Least Square ...
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Intelligent Control Algorithm for Maximum Power Point Tracking of PV Arrays
... (MPP). Fuzzy Logic (FL) has been used for tracking the MPP of PV modules because it has the advantages of being robust, relatively simple to design and does not require the knowledge of an exact model ...
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