[PDF] Top 20 A NOVEL APPROACH OF FEATURE REDUCTION USING PSO AND GENETIC ALGORITHM
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A NOVEL APPROACH OF FEATURE REDUCTION USING PSO AND GENETIC ALGORITHM
... function takes a candidate solution as argument in the form of a vector of real numbers and produces a real number as output which indicates the objective function value of the given candidate solution. The gradient of f ... See full document
9
A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB SERVICES BASED ON MUTATION TESTING
... 1. Feature are extracted from the CT images using Coif let wavelets; ...classified using Support Vector Machine; ...optimized using Particle Swarm Optimization (PSO), and modified ... See full document
10
Intrusion Detection in KDD99 Dataset using SVM PSO and Feature Reduction with Information Gain
... Hybrid PSO-SVM approach for building ...are using two feature reduction technique: Information Gain and ...the algorithm does not perform well in detecting the attacks like U2R ... See full document
5
Feature Reduction Using Ensemble Approach
... a novel feature reduction method which adopts ensemble approach to measure the divergence between the training set and test set and use the divergence to supervise the feature ... See full document
10
A Novel Machine Learning Approach to Diagnose Type 2 Diabetes and Different Clinical Datasets Using Weighted Genetic PCA Methods
... iterative approach, which concentrates on the effective feature selection and ...pre-processing, feature selection and ...the feature selection process, which performed using PCA ... See full document
7
A Novel Approach Towards K-Mean Clustering Algorithm With PSO
... Pritesh Vora and Bhavesh Oza proposed that K-mean clustering is widely used to minimize squared distance between features values of two points reside in the same cluster. Particle swarm optimization is an evolutionary ... See full document
9
Comparative Analysis of Genetic Algorithm Based Approach for Gene Cancer Classification using prominent features with PSO for Dimensionality Reduction and FFBNN as Classifier
... zero. Using the randomly generated and initial velocity of particles, the fitness values of these particles are ...by using the following equations, ... See full document
7
A GA/IPSO BASED APPROACH FOR SYSTEM LOSS REDUCTION AND VOLTAGE PROFILE IMPROVEMENT EMPLOYING ARITHMETIC CROSSOVER AND MUTATION.
... includes genetic algorithm (GA) and neural network (NN) for identification of possible locations for fixing DGs and the amount of power to be generated by the DG to achieve power quality ...and PSO ... See full document
10
COMPARISON OF JAMMING EXCISION METHODS FOR DIRECT SEQUENCE/SPREAD SPECTRUM (DS/SS) MODULATED SIGNAL
... proposed approach for LD prediction is ...new approach for learning disability prediction, measurement of the prediction and ...modified approach for feature selection, feature ... See full document
10
Software Test Case Reduction Using Genetic Algorithm: A Modified Approach
... Software testing is the process of finding errors in the computer software. According to ANSI/IEEE 1059 standard, testing can be defined as “A process of analysing a software item to detect the differences between ... See full document
6
On The Design Optimization for Enhanced Face Recognition
... Detection Using Particle Swarm Optimization and Support Vector ...detection algorithm that uses Particle Swarm Optimization (PSO) for searching the image is ...The algorithm uses a linear ... See full document
7
Modeling and control of heat exchanger by using bio inspired algorithm
... a Genetic Algorithm, are especially ...in PSO, which is common in Genetic Algorithm (Engelbrecht ...2006). PSO is also being used in system identification ...that PSO can ... See full document
38
A Novel Approach to Construct Decision Tree Using Quick C4.5 Algorithm
... With the rapid growth in size and number of available databases in commercial, industrial, administrative and other applications, it is necessary and interesting to examine how to extract knowledge from huge amount of ... See full document
6
An Optimistic Web Service Selection using Multi Colony – Particle Swarm Optimization (MC – PSO) algorithm
... 490 Evolutionary algorithms (EA‘s) form a family of algorithms inspired by the theory of evolution that solve various problems. They evolve a set of solutions to a given problem, in order to produce the best results. ... See full document
10
A New Method for Intrusion Detection Using Genetic Algorithm and Neural network
... There are two basic reasons for using Nilam Diyodi and Apranga Trapathy in the technique of solidarity events in the network intrusion detection system in 2015. First, the detection of network attacks is usually ... See full document
10
A Novel Approach to Design of Microstrip UWB Bandpass Filter Using Modified Genetic Algorithm
... Abstract—A novel approach to design microstrip ultra-wideband (UWB) bandpass filter (BPF) using modified genetic algorithm (MGA) is proposed in this ...modified genetic ... See full document
7
Color Image Reduction using Genetic Algorithm
... Multi-thresholding approach generalizes the image thresholding by finding multiple thresholds which aim to separate multiple ...Multi-thresholding approach generalizes the image thresholding by finding ... See full document
5
Improving gender classification with feature selection in forensic anthropology
... Therefore, feature selection method is applied to identify the most significant features for gender ...of feature selection approaches which are Particle Swarm Optimization (PSO) and Harmony Search ... See full document
7
A Survey paper on face detection and recognization with Genetic Algorithm
... video using adaptive Hidden Markov Models to perform video-based face recognition ...a feature space, are used as the measure of similarity between two video ...tracking-and-recognition approach by ... See full document
8
A Comparative Study on using Principle Component Analysis with different Text Classifiers
... of using principle components analysis (PCA) with different text classifiers; standard RF, standard SVM, the J-48 decision tree and KNN methods are used in our study such that they are simple and give acceptable ... See full document
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