Using Digital Circuit To Establish An ANM Hardware Architecture Within Self-Organizing Learning

• Main Authors: Ruey-Dong Chen, 陳瑞東
• Other Authors: Jong-Chen Chen
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/18884904734474917981

碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 89 === ‘Biological Systems’ is a high adaptable system, it shows a very well adaptation. On the other way, ‘Digital Circuit Hardware’ or ‘Computer System’ is a sequential control architecture, it is suitable to do a great quantity of computing and repeating work. The difference between them is ‘Structure/Function Relationship’. Digital circuit and computing system is designed to offer an easy programming environment, but the emphasis of biological system is self-organizing learning, that is a non-programming characteristic. Because biological system and digital circuit hardware have their own advantages, thus the issue of ‘Evolvable Hardware’ was proposed. The goal is to combine both of their advantages, and processing information with a more efficient and more high adaptable way. The research is using a characteristic that come from neuromolecular, and adding some hypothesis to establish a multi-level neuromolecular information processing brain simulation system with self-organizing learning. We called it ‘Artificial NeuroMolecular System’, and discuss its capability.