从一些生物知识说起

中文字数:2861,中文页数:9  英文字数:2773 页数:15

Introduction
This article is Part 1 of a series of 3 articles that I am going to post. The proposed article content will be as follows:
Part 1: This one, will be an introduction into Perceptron networks (single layer neural networks)
Part 2: Will be about multi layer neural networks, and the back propogation training method to solve a non-linear classification problem such as the logic of an XOR logic gate. This is something that a Perceptron can't do. This is explained further within this article
Part 3: Will be about how to use a genetic algorithm (GA) to train a multi layer neural network to solve some logic problem
Let's start with some biology

 从一些生物知识说起
 
 大脑中的神经细胞被称为神经元。人类大脑中大约含有10^10至10^13个神经元。每个神经元都能与其他几千个神经元联系起来。神经元是大脑用来处理信息的基本单元。
 神经元是什么样子
 神经元由细胞体以及从细胞体中延伸出来的各种扩展物组成。其中大部分呈枝状被称为树突。有一根特别长的叫做轴突。图中的虚线处就是轴突小丘，也就是信号传输开始的地方。如下图所示

 《从一些生物知识说起》WORD格式全文下载链接