[PDF] Top 20 Proyecto de inversión para la creación de un skatepark privado en la ciudad de Guayaquil
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1. Cardiovascular disease prediction using genetic algorithm and neuro-fuzzy system
... Abstract--Cardiovascular disease (CVD) is related to heart and a major cause of morbidity and transience in the modern ...of cardiovascular disease using various medical tests is an ... See full document
130
Online Full Text
... Solved neuro-fuzzy system seems to perform both the fundamental requirements of intelligent manufacturing, ...usual neuro-fuzzy models only with severe difficulties.[1], [12], ... See full document
104
A Hybrid AI approach based on Genetic Algorithm and ANFIS for Heart Disease Diagnosis
... risk prediction of heart disease using the cleveland heart disease dataset from UCI ...the prediction diagnosis of heart ...technique using a ... See full document
15
Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... effort prediction accuracy or on suggesting new combinatory techniques for providing better ...type-2 fuzzy logic in which the gradient descend algorithm and the neuro- ... See full document
118
Spike discharge prediction based on neuro-fuzzy system
... of neuro-fuzzy algorithm to the Ipsilateral Forepaw Cortex data are presented in Figures ...Figures 1-20 contains the actual spikes per discharge value that is computed using ... See full document
466
Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer
... diagnostics system based on Genetic Neuro Fuzzy model arsit the radiologist in the diagnosis of breast cancer 2008 ...Advanced Fuzzy – Neuro approach is implemented using ... See full document
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Modified Fuzzy Clustering With Genetic Algorithm For Crop Analysis In North Western Zone Of Tamilnadu
... yield prediction using data mining techniques such as K-means clustering, Decision tree induction and so ...constructed using WEKA ...the Genetic Algorithm and ...evolutionary ... See full document
28
Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System
... U.S.A.) using distinctive hourly data ...respectively. Using grid partitioning technique, hybrid learning algorithm and epoch size of 60, the model training, checking and testing were carried out and ... See full document
7
Generating Rules for Advanced Fuzzy Resolution Mechanism to Diagnosis Heart Disease
... Advanced Fuzzy Resolution Mechanism there are number layers with nodes which are connected through ...Advanced Fuzzy Resolution Mechanism designed with predictive values and if then rules are generated to ... See full document
99
Heart Disease Prediction System using Genetic Algorithm
... The data set is taken from Data Mining Repository of the University of California, Irvine (UCI) (Newman et al., 1998). Finally the system is validated using data sets from Cleveland, Hungary and ... See full document
842
DECISION SUPPORT SYSTEM BASED ON SIGNS AND SYMPTOMS USING NEURAL NETWORKS FOR CONGENITAL HEART DISEASE DIAGNOSIS
... the prediction of the ...managed using soft computing. These methods are fuzzy logic, neural networks, genetic algorithms and a set of oil that will lead to smart, interpretable and cheap ... See full document
11
Accuracy Enhancement of Artificial Neural Network using Genetic Algorithm
... Support System for Heart Disease using Neural Network”, Delhi Business Review, ...The prediction of Heart Disease, Blood Pressure and Sugar with the help of neural network was proposed ... See full document
27
Adaptive Neuro-Fuzzy System for Cancer
... and fuzzy logic (FL) increased, during the late 1980s, to introduce the NN and FL technologies into several application ...reliable prediction methodology to diagnose Cancer disease and classify ... See full document
55
NETWORK INTRUSION DETECTION SYSTEM USING FUZZY GENETIC ALGORITHM
... a fuzzy-genetic approach to detect network intrusion is ...the system the KDD99 benchmark dataset and network dataset are ...The fuzzy logic is encoded using six ...presents ... See full document
318
Studies on evaluation of rural sports based on fuzzy comprehensive evaluation method
... the fuzzy comprehensive evaluation model based on genetic algorithm, which are listed as follows: (1) Establish the factor assembly and remark assembly; (2) Confirm the weight by ... See full document
42
Indirect Position Estimation of Switched Reluctance Motor based on Flux Sensing Method
... ABSTRACT: Switched Reluctance Motor is one of the special machines with simple design, high startup torque and low inertia torque. Inspite of high torque ripple it has more merits on controller design flexibility. The ... See full document
15
LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
... The prediction of the best compressive strength of concrete data is not an easy task because it contains highly complex ...Type-1 Fuzzy Model and Type-2 Fuzzy Model were developed to predict ... See full document
11
Redundancy allocation at modular level in fuzzy environment using genetic algorithm
... the system components are assumed to be known and fixed positive numbers which lie between zero and ...stochastic, fuzzy and fuzzy-stochastic approaches are applied and the corresponding problems are ... See full document
95
Software Quality Prediction using Fuzzy Rule based System
... as Fuzzy Logic offers a good technique for building models for software quality ...level using projects and presents the results obtained with a fuzzy rule based system and an ordinary ... See full document
103
Prediction blood pressure parameter by using neuro-fuzzy model
... heart disease. In this case, accurate blood pressure measurement and prediction need to be ...the Neuro-Fuzzy model using MATLAB as the ... See full document
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