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[PDF] Top 20 Feature gene selection method based on improved harmony search algorithm

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Feature gene selection method based on improved harmony search algorithm

Feature gene selection method based on improved harmony search algorithm

... Gene chip [1] which also known as the DNA microarray is an advanced, large-scale, high-throughput detection technology , which has been widely and successfully applied in many fields of disease diagnosis, drug ... See full document

7

IIR System Identification Using Improved Harmony Search Algorithm with Chaos

IIR System Identification Using Improved Harmony Search Algorithm with Chaos

... of Harmony Search algorithm (CIHS), is developed using social component of PSO and chaotic search combined to the original algorithm to enhance exploration and exploitation capability ... See full document

11

A feature selection method based on multiple kernel learning with expression profiles of different types

A feature selection method based on multiple kernel learning with expression profiles of different types

... most feature selection methods can be divided into three categories: filter methods, wrapper methods, and embedded methods ...of feature selection search and the construction of the ... See full document

16

Optimization of Fuzzy Random Portfolio selection by Implementation of Harmony Search Algorithm

Optimization of Fuzzy Random Portfolio selection by Implementation of Harmony Search Algorithm

... The harmony search algorithm approaches to resolve the portfolio selection problem with the objective of return maximization is ...evolutionary method of this paper with harmony ... See full document

5

Retrieval of Refractivity Profile with Ground-Based Radio Occultation by Using an Improved Harmony Search Algorithm

Retrieval of Refractivity Profile with Ground-Based Radio Occultation by Using an Improved Harmony Search Algorithm

... It is observed that the average rms percentage error is higher with (h a = 10 km, h b = 20 km) than that with (h a = 0, h b = 10 km). The refractivity decreases with height, and a fixed absolute error ( N re (h) − N tar ... See full document

13

Fast SFFS-Based Algorithm for Feature Selection in Biomedical Datasets

Fast SFFS-Based Algorithm for Feature Selection in Biomedical Datasets

... SFFS method. It uses a novel measure for pre-selection, which combines Pearson correlation for complementary ability and a simple threshold classifier for the predictability of a ...wrapper method of ... See full document

14

Improved Routing in Wireless Sensor Networks Using Harmony Search Algorithm

Improved Routing in Wireless Sensor Networks Using Harmony Search Algorithm

... HS algorithm to solve the WSN problem to maximize the net- work ...they improved the harmony memory decryption and the optimization of a new harmony based on the WSN routing ...routing ... See full document

22

Modified Whale Optimization Algorithm For Feature Selection In Micro Array Cancer Dataset

Modified Whale Optimization Algorithm For Feature Selection In Micro Array Cancer Dataset

... using gene expression analysis utilizing micro array ...is based on binary approach, where the genes are classified into healthy and cancer-causing ones, while multiclass problems target to spate the genes ... See full document

8

A Survey of Harmony Search Algorithm

A Survey of Harmony Search Algorithm

... Liu and Feng [85] used HS for system identification. They estimated ten discrete valued parameters of a Controlled Auto-Regressive Moving Average (CARMA) model for oil well heat wash data. Two applications in process ... See full document

10

A New Feature Selection Techniques Using Genetics Search and Random Search Approaches for Breast Cancer

A New Feature Selection Techniques Using Genetics Search and Random Search Approaches for Breast Cancer

... genetics algorithm based CFS connected to the breast cancer dataset which was reduced to 5 from 10 and the Naive Bayes algorithm connected for ...Random search based CFS connected to ... See full document

6

A Fast and Effective Strategy for Feature Selection in High-dimensional Datasets

A Fast and Effective Strategy for Feature Selection in High-dimensional Datasets

... Abstract. Feature subset selection (FSS) is an important preprocessing step for the classification task, especially in the case of datasets with high dimensionality, ...simple feature subset ... See full document

12

The optimization of emergency resource mobilization based on harmony search algorithm

The optimization of emergency resource mobilization based on harmony search algorithm

... solving algorithm of many ...exhaustive method can generally obtain the optimal solution of the ...exhaustive method solves this kind of problems ...optimization algorithm to solve this ... See full document

5

Gene Microarray Cancer Classification using Correlation Based Feature Selection Algorithm and Rules Classifiers

Gene Microarray Cancer Classification using Correlation Based Feature Selection Algorithm and Rules Classifiers

... Initially, the Decision Table, JRip, and OneR classifiers were applied on the origi- nal datasets. Then, the all eleven datasets were filtered using Correlation-based Fea- ture Selection (CFS) ... See full document

12

A 3D foot shape feature parameter measurement algorithm based on Kinect2

A 3D foot shape feature parameter measurement algorithm based on Kinect2

... shape feature parameters is extremely important in the process of customized ...shape feature parameter measurement ...foot based on improved interactive closest points algorithm, the ... See full document

12

Voltage and Frequency Based Optimal Load Shedding using Improved Self Adaptive Harmony Search Algorithm

Voltage and Frequency Based Optimal Load Shedding using Improved Self Adaptive Harmony Search Algorithm

... voltage stability based schemes are needed for distribution systems. This is for the reason that, transmission systems are equipped with a large set of capacitor banks and high capacity generators. Reactive power ... See full document

6

An improved wrapper-based feature selection method for machinery fault diagnosis

An improved wrapper-based feature selection method for machinery fault diagnosis

... Various feature selection crossover combinations such as the hybrid filter-wrapper method have been implemented, with a twofold aim: To refine the feature selection performance and ... See full document

10

FIR Digital Filter and Neural Network Design using Harmony Search Algorithm

FIR Digital Filter and Neural Network Design using Harmony Search Algorithm

... a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of ...a search mechanism and selection to direct the search towards the ... See full document

84

Improving gender classification with feature selection in forensic anthropology

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 ... See full document

7

A CREDIT SCORING PREDICTION MODEL BASED ON HARMONY SEARCH BASED 1-NN CLASSIFIER FEATURE SELECTION APPROACH

A CREDIT SCORING PREDICTION MODEL BASED ON HARMONY SEARCH BASED 1-NN CLASSIFIER FEATURE SELECTION APPROACH

... and selection methods over the Australian credit datasets for ...the feature selection in our method. Based on parallel processing, time to run 20 trails with 5-fold cross validate ... See full document

9

Title :    PREDICTION OF PROTEIN STRUCTURAL CLASSES BY PSEUDO AMINO ACID COMPOSITION USING IMPROVED HARMONY SEARCH RELATIVE REDUCT FEATURE SELECTION AND ROUGH SET  CLASSIFICATION ALGORITHMS Author (s) : M. BAGYAMATHI,  H. HANNAH INBARANI

Title : PREDICTION OF PROTEIN STRUCTURAL CLASSES BY PSEUDO AMINO ACID COMPOSITION USING IMPROVED HARMONY SEARCH RELATIVE REDUCT FEATURE SELECTION AND ROUGH SET CLASSIFICATION ALGORITHMS Author (s) : M. BAGYAMATHI, H. HANNAH INBARANI

... HS algorithm uses a fixed value for both PAR and bw. In the HS method, PAR and bw values are adjusted and cannot be changed during new generations ...HS method is that the numbers of iterations ... See full document

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