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[PDF] Top 20 SVM Parameter Optimization using Grid Search and Genetic Algorithm to Improve Classification Performance

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SVM Parameter Optimization using Grid Search and Genetic Algorithm to Improve Classification Performance

SVM Parameter Optimization using Grid Search and Genetic Algorithm to Improve Classification Performance

... able to improve the accuracy significantly. However, grid search has several disadvantages, it is extremely slow and furthermore it may lead to very long execution ...example, ... Lihat dokumen lengkap

8

Tracking Performance Of A Hot Air Blower System Using PID Controller With PSO And Harmonic Search Algorithm.

Tracking Performance Of A Hot Air Blower System Using PID Controller With PSO And Harmonic Search Algorithm.

... So to achieve the highest performance of the PT326 hot air blower system, PID controller needs to be ...process using System Identification approach was considered in this ...used to ... Lihat dokumen lengkap

24

isprsarchives XL 1 W5 651 2015

isprsarchives XL 1 W5 651 2015

... order to optimize the classification performance of high dimensional data, several methods are proposed in literatures which can be categorized into three groups: parameter determination of ... Lihat dokumen lengkap

6

UNTUK KLASIFIKASI MICROARRAY DATA

UNTUK KLASIFIKASI MICROARRAY DATA

... method to classify data that has been successfully used to solve problems in various ...used to produce SVM model have good generalization ...the SVM method is the difficulty in ... Lihat dokumen lengkap

98

Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System.

Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System.

... control parameter of backstepping is very important in order to achieve performance ...technique, and optimization ...system performance at design stage is diicult to be ... Lihat dokumen lengkap

10

Optimization of physical vapour deposition coating process parameters using genetic algorithm.

Optimization of physical vapour deposition coating process parameters using genetic algorithm.

... due to the many solutions or design associated with a piece of art, including the variety of ...However, genetic algorithms (GAs) are among common method used to improve many solutions of ... Lihat dokumen lengkap

24

Optimization Electrical Circuit's Parameter Using Genetic Algorithms (GAs).

Optimization Electrical Circuit's Parameter Using Genetic Algorithms (GAs).

... circuit performance may potentially be achieved than that obtained by conventional method if other combinations of acceptable values are ...the search space of all feasible combinations is too ...upper ... Lihat dokumen lengkap

24

OPTIMIZATION OF PARAMETERS TO IMPROVE SVM ACCURACY USING HARMONY SEACRH ALGORITHM

OPTIMIZATION OF PARAMETERS TO IMPROVE SVM ACCURACY USING HARMONY SEACRH ALGORITHM

... of classification of data by using the Support Vector Machine (SVM) classification ...For classification of data with SVM required parameters capable of producing optimal ... Lihat dokumen lengkap

11

Docking Simulation of Fevicordin into Human Receptor Estrogen.

Docking Simulation of Fevicordin into Human Receptor Estrogen.

... structure to estradiol and cytotoxic in nature, thus can be developed as cancer ...applied to simulate it interactions with human estrogen receptor α which is known involve in growth of breast ... Lihat dokumen lengkap

10

Hybrid Genetic Algorithm and Simulated Annealing for Function Optimization

Hybrid Genetic Algorithm and Simulated Annealing for Function Optimization

... local search algorithm that simulates the melting and cooling in metal ...high and gradually cooling by time to ...implemented to search optimal solution on short range ... Lihat dokumen lengkap

16

Distribution Network Optimization Based on Genetic Algorithm

Distribution Network Optimization Based on Genetic Algorithm

... way to optimize distribution networks is to reconfigure the ...How to reconfigure this network is relatively inexpensive compared to reconfiguration of distribution networks is a very ... Lihat dokumen lengkap

9

A Comparative Study of Optimization Methods for 33kV Distribution Network Feeder Reconfiguration.

A Comparative Study of Optimization Methods for 33kV Distribution Network Feeder Reconfiguration.

... by using ABC, PSO and GA methods. Tie switches and sectionalizing switches are considered as the main control ...randomly and takes approximately 100 times by using MATLAB software ... Lihat dokumen lengkap

14

Dimension Reduction of Coronary Artery D

Dimension Reduction of Coronary Artery D

... multi-step algorithm for dimension reduction of CAD diagnosis has been ...predictor to build the models, and we increase the predictor list by one in each ...procedure, and we can see that the ... Lihat dokumen lengkap

5

 M01965

M01965

... (pbest) and subsequently global best (gbest) in every iteration in order to seek the optimal ...attempt to imitate their historical success and in the same time try to follow the ... Lihat dokumen lengkap

4

Extreme Learning Machine Weights Optimization Using Genetic Algorithm In Electrical Load Forecasting

Extreme Learning Machine Weights Optimization Using Genetic Algorithm In Electrical Load Forecasting

... continues to increases every year, but it is not matched by the provision of adequate infrastructure that ...build to solves the ...input to do the electrical load forecasting with Extreme Learning ... Lihat dokumen lengkap

11

https://drive.google.com/file/d/0B9HTG AMkP1YM1VFZm0yU1h6UG8/view?usp=sharing

https://drive.google.com/file/d/0B9HTG AMkP1YM1VFZm0yU1h6UG8/view?usp=sharing

... up to 50% of generation and achieve converging at 200 times generation, The search area of the optimum value was a variable input range to meet the parameters of the objective ...the ... Lihat dokumen lengkap

6

Integrasi SMOTE dan Information Gain pada Naive Bayes untuk Prediksi Cacat Software

Integrasi SMOTE dan Information Gain pada Naive Bayes untuk Prediksi Cacat Software

... Bayes classification memiliki probabilitas yang baik yaitu 71%, yang sebelumnya dilakukan preprocessing menggunakan log filtering dan seleksi atribut menggunkaan Information ... Lihat dokumen lengkap

6

The Grid  Core Technologies

The Grid Core Technologies

... language, and the Ontology Infer- ence Layer (OIL) [21], an ontology language that couples modelling primitives commonly used in frame-based ontologies, with a sim- ple and well-defined semantics of an ... Lihat dokumen lengkap

452

Optimization of Support Vector Regression using Genetic Algorithm and Particle Swarm Optimization for Rainfall Prediction in Dry Season

Optimization of Support Vector Regression using Genetic Algorithm and Particle Swarm Optimization for Rainfall Prediction in Dry Season

... [r] ... Lihat dokumen lengkap

9

Musical Genre Classification Using SVM and Audio Features

Musical Genre Classification Using SVM and Audio Features

... proposed to be used in representing ...related to timbre, rhythm, pitch and ...zero-crossings and low-energy) [1][2] and Mel-Frequency Cepstrum Coefficients (MFCC) [1][3] are used as ... Lihat dokumen lengkap

11

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