Non-Linear Classification using Higher Order Pi-Sigma Neural Network and Improved Particle Swarm Optimization: An Experimental Analysis

被引：4

作者：

Kanungo, D. P. ^{[1
]}

Nayak, Janmenjoy ^{[1
]}

Naik, Bighnaraj ^{[1
]}

Behera, H. S. ^{[1
]}

机构：

[1] Veer Surendra Sai Univ Technol, Dept Comp Sci Engn & Informat Technol, Sambalpur 768018, Odisha, India

来源：

COMPUTATIONAL INTELLIGENCE IN DATA MINING, CIDM, VOL 2 | 2016年 / 411卷

关键词：

Higher order neural network; Classification; PSO; Pi-Sigma neural network;

D O I：

10.1007/978-81-322-2731-1_48

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a higher order neural network called Pi-Sigma neural network with an improved Particle swarm optimization has been proposed for data classification. The proposed method is compared with some of the other classifiers like PSO-PSNN, GA-PSNN and only PSNN. Simulation results reveal that, the proposed IPSO-PSNN outperforms others and has better classification accuracy. The result of the proposed method is tested with the ANOVA statistical tool, which proves that the method is statistically valid.

引用

页码：507 / 518

页数：12

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