计算机科学
人工智能
人工神经网络
内分泌系统
机器学习
代表(政治)
国家(计算机科学)
算法
政治学
生物化学
激素
政治
化学
法学
作者
Subhash C. Pandey,Gora Chand Nandi
标识
DOI:10.1142/s0219878913500150
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.
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