fuzzy genetic neural system
CDSS for Heart Disease Prediction Using Risk Factors
... the neural network ...support system which adopts genetic algorithm technique to optimize the performance of a neuro-fuzzy diagnostic ...proposed system consists of a Fuzzy logic ...
8
Design of Genetic Fuzzy Based Diagnostic System to identify Chikungunya
... Proposed System for Diagnosis of Chikungunya Machine learning techniques have performed a great role in the diagnosis and prognosis of many health ...Especially, Genetic-Fuzzy hybrid systems are ...
9
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, ...
6
K.P.MALARKODI et al , International Journal of Computer Science and Mobile Applications,
... In latest centuries, exclusive image handling the tenure swarm intelligence methodology has advanced into unique artificial intelligence arena. It is reinvigorated by swarm insect with the resolve to show cooperative ...
6
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 ...
8
Highly nonlinear control of a solar thermal power plant using soft computing fuzzy tuning techniques
... Sugeno-type fuzzy incremental controller was tuned using an ANFIS (Adaptive Neural Fuzzy Inference System) to optimise the fuzzy controller’s pre-clustered input membership functions, ...
8
A Genetic Fuzzy System Based On Improved Fuzzy Functions
... financial system modeling approaches based on machine learning tools that the stock price prediction model performances of different benchmarking methods are not always significantly different from one ...a ...
12
(EM) mechanism, for global
... with genetic algorithm technique (IEMGA) for recurrent fuzzy neural system ...recurrent fuzzy neural system design, IEMGA simulates the “attraction” and “repulsion” of ...
6
An Approach to Management of Health Care and Medical Diagnosis Using of a Hybrid Disease Diagnosis System
... the genetic algorithm has been used through the most important attributes for use in the training ...artificial neural networks, fuzzy logic, and genetic ...proposed system is presented ...
16
Vol 2, No 11 (2014)
... expert system, fuzzy logic, neural networks and genetic ...Expert System (ES), Fuzzy Logic (FL), Artificial Neural Network (ANN or NNW), and Genetic ...
5
Exploration of Anomaly Based Intrusion Detection System: A Security Framework
... detection system are genetic algorithm, apache storm, neural network, artificial immune system, genetic clustering method and Linear Discriminant Analysis & Logistic ...But ...
6
Performance Evaluation of Fuzzy and Neuro Fuzzy Based Image Fusion
... neuro fuzzy logic methodology exploited to fuse images from dissimilar sensors, in order to improve conception and ...and fuzzy, neuro fuzzy based image techniques along through quality assessment ...
7
Review on Face Recognition Using Fuzzy Logic and Neural Techniques Pooja, II Shaloo Kikan Student M.Tech., Electronics & Communication Engg., P.D.M. College, Bahadurgarh, India
... A problem of personal verification and identification is an actively growing area of research. Face, Voice, Lip Movements, Hand geometry, Odors, Gait, Iris, Retina, Fingerprint are the most commonly used authentication ...
5
ECG SIGNAL ANALYSIS AND PREDICTION OF HEART ATTACK WITH THE HELP OF OPTIMIZED NEURAL NETWORK USING GENETIC ALGORITHM
... artificial neural network (ANN) can use for pattern recognition, classification as well as prediction because it is based on biological neurons, an artificial neural network (ANN) is a self-adaptive ...
9
Solving fully fuzzy linear programming
... n fuzzy numbers, in ...general fuzzy linear systems or symmetric fuzzy linear ...linear system of the form ˜ x = A˜ x + ˜ u, where A is a real n × n matrix, the unknown vec- tor ˜ x and the ...
8
Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS
... Abstract: For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed and high power mechanical system. Poor working conditions result in ...
20
Soft-Computing Based Data Mining: A Review
... A fuzzy taxonomy is represented as a directed acyclic graph, each of whose edges represents a fuzzy IS-A relationship with degree ...discovering fuzzy association rules in relational ...with ...
15
Development of an Expert System for Message Routing in a Switched Network Environment
... Neuro- Fuzzy Expert System (NFES) ...management system. This work therefore employed a Neuro-Fuzzy Expert System model that combines the learning ability of artificial neural ...
10
Comparison of Artificial Intelligence Techniques for river flow forecasting
... 2001). Fuzzy inference system (FIS) is a rule based sys- tem consists of three conceptual ...containing fuzzy if-then rules, (2) a data-base, defining the Membership Function (MF) and (3) an ...
17
Deduction of reservoir operating rules for application in global hydrological models
... Besides the variety of physical properties of reservoirs causing differences in how input parameters are classified, two phenomena that are intrinsic to ANFIS seem to be es- pecially relevant. As membership functions ...
21