fuzzy neural network technique
Neural Network Regressions with Fuzzy Clustering
... with fuzzy membership ...the fuzzy clustering and neural network components once and only ...the neural network compoent have added as a classifier, the actual clustering jobs ...
6
Copyright Protection of Digital Images using FIS-BPNN Technique in Hybrid Transform Domain
... In order to embed watermark into the images with maximum extent, HVS model is used. HVS model is less sensitive to noise; this advantage was used for an image watermarking technique. In some areas of the image can ...
8
Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor
... of fuzzy logic and artificial neural network results in ANFIS ...i.e. fuzzy logic and neural ...The fuzzy logic controller and neurons of NN are implemented based on field ...
10
Intelligent Control Algorithm for Maximum Power Point Tracking of PV Arrays
... control technique – Fuzzy logic and Artificial Neural Network are use for MPPT of PV ...array. Fuzzy logic does not need the knowledge of exact model of the system and uses heuristic ...
10
Review Computer Network Routing with a Fuzzy Neural Network
... applied fuzzy reasoning enhanced by a neural ...computer network greatly affects the travel time for all types of ...computer network can delay or completely stop the transmission of ...
5
Online Full Text
... of neural networks in learning from processes, this is an active research topic in the area of fuzzy neural networks (FNNs) [1, ...adaptive network control approach has grown rapidly in many ...
6
Intelligent PID Controller on Soft Computing
... applies fuzzy system, neural network technique and genetic algorithm to PID controller in order to achieve intelligent adjustment the controlled variables ...
8
A Fuzzy Based Classification – An Experimental Analysis
... of Fuzzy Neural Network and Fuzzy SVM technique for classification of cardiotocographic data set helping patients to predict and reliable diagnosis at the ...earliest. Fuzzy ...
5
The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... the fuzzy logic and neural networks make them ideal solution in individual use for some kinds of artificial intelligent but not ...modeling technique through the neural networks, is obviously ...
6
Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
... one technique to show enhance results in the diagnosis of ...more technique to identify a suitable treatment for diagnosis of diabetes patients has received less ...Genetic, Neural network and ...
8
Online Full Text
... using neural networks is an upcoming approach in pattern ...segmentation technique based on Granular Reflex Fuzzy Min-Max Neural Network ...proposed technique processes granules ...
6
Development of Hybrid Intrusion Detection System and Its Application to Medical Sensor Network
... on Fuzzy Bisector- Kernel Fuzzy C-means clustering technique and Bayesian Neural ...used technique for dimensionality ...of Fuzzy Bisector- Kernel Fuzzy C-means clustering ...
16
Vol 8, No 7 (2018)
... mining technique. Fuzzy C- means clustering technique used in intrusion detection system for low false alarm ...rate. Neural network algorithm is used to classification in proper class ...
14
NEURAL NETWORK BASED REGRESSION TESTING
... prioritizing technique based on neural ...automated. Neural networks can be trained to automate the prioritization of test ...of neural networks in test case prioritization. The neural ...
6
Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... Different NN structures have proven to be successful in solving the motor fault detection/diagnosis problem [1], [15], [23]–[25]. Following the techniques developed for general process fault detection/diagnosis [5]–[8], ...
11
Deduction of reservoir operating rules for application in global hydrological models
... determining fuzzy rules that are able to describe the release regime for most reservoirs with MSEs as low as ...plex network is ...the fuzzy rules are trying to de- scribe two different modes of ...
21
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 ...
5
A Review on Protection Techniques used in HVDC Transmission Line Shweta Mahajan , Prof. S. U. Kulkarni
... with network configuration. Due to this reason, Artificial Neural Network technique is considered for high speed dynamically system operating ...Artificial Neural Network ...
5
Fuzzy Neural Network for Clustering and Classification
... General Fuzzy min-max Neural Network (GFMM)[4] processes supervised and unsupervised data in a single training algorithm. In labeled or supervised learning ,which is also referred as a pattern ...
7
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 ...
5