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作者机构:Computer Science and Engineering Department Birla Institute of Technology Mesra Ranchi (Allahabad Campus) Allahabad UP India Artificial Intelligence and Robotics Lab Indian Institute of Information Technology Allahabad UP India
出 版 物:《International Journal of Information Acquisition》
年 卷 期:2014年第9卷第3N04期
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Bio-inspired computation knowledge discovery data mining artificial endocrine system homeostasis
摘 要:We propose an artificial endocrine system (AES) for extracting the knowledge from database so that effective and reliable decision rules can be constructed. The proposed AES mimics the functionality of biological endocrine system (BES) to some extent. A mathematical model is proposed for expressive representation of endocrine system as well as for homeostasis. Further, different aspects of our proposed Artificial endocrine system for knowledge discovery (AESKD) have been compared with state of art classifiers e.g., support vector machine, neural network, radial basis function (RBF) network and K-NN for some bench mark datasets.