Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree

Naïve Bayes classifier was generally considered as a simple and efficient classification method. However, its classification performance was affected to some extent because of the assuming that the conditions properties were independent of each other. By analyzing the classification principle and improvement of Bayesian and the Attribute Reduction of Rough Set, this paper proposed a Naïve Bayes algorithm that the attribute order reduction and weighting were improved simultaneously. Experiment results demonstrated that the proposed method performed well in classification accuracy.

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Advanced Model Order Reduction Techniques in VLSI Design

10.1017/cbo9780511541117 ◽

2007 ◽

Cited By ~ 77

Author(s):

Sheldon Tan ◽

Lei He

Keyword(s):

Model Order Reduction ◽

Vlsi Design ◽

Order Reduction ◽

Model Order ◽

Reduction Techniques ◽

Advanced Model

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Synthesis of Equivalent Circuit from Homogenized FE Equation using Model Order Reduction

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.140.134 ◽

2020 ◽

Vol 140 (2) ◽

pp. 134-139

Author(s):

Shingo Hiruma ◽

Hajime Igarashi

Keyword(s):

Equivalent Circuit ◽

Model Order Reduction ◽

Order Reduction ◽

Model Order

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ON THE ORDER REDUCTION OF LQG DESIGNED CONTROLLERS

10.2514/6.1993-1420 ◽

1993 ◽

Author(s):

E. NISSIM

Keyword(s):

Order Reduction

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Application and Comparative Analysis Of Single Objective Order Reduction Of Power System Model Using PSO And De Algorithms

i-manager’s Journal on Electrical Engineering ◽

10.26634/jee.8.3.3162 ◽

2015 ◽

Vol 8 (3) ◽

pp. 1-9

Author(s):

U. Salma ◽

◽

K. Vaisakh ◽

Keyword(s):

Comparative Analysis ◽

Power System ◽

Order Reduction ◽

System Model ◽

Single Objective ◽

Power System Model

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THE NEW ALGORITHM OF SOLVING HARMONIC BALANCE EQUATIONS

CAD/EDA, MODELING AND SIMULATION IN MODERN ELECTRONICS: COLLECTION OF SCIENTIFIC PAPERS OF THE III INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE ◽

10.30987/conferencearticle_5e0282123a4fa0.04742815 ◽

2019 ◽

Author(s):

Vladimir Lantsov ◽

A. Papulina

Keyword(s):

Harmonic Balance ◽

Model Order Reduction ◽

Order Reduction ◽

Balance Equations ◽

Model Order ◽

Cad Systems ◽

Computational Costs ◽

Reduction Methods ◽

Model Equations

The new algorithm of solving harmonic balance equations which used in electronic CAD systems is presented. The new algorithm is based on implementation to harmonic balance equations the ideas of model order reduction methods. This algorithm allows significantly reduce the size of memory for storing of model equations and reduce of computational costs.

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