Introduction to Artificial Neural networks (1)--An application example of single layer artificial neural network

1 Introduction

Remember when I first contacted RoboCup 2 years ago, I heard from my seniors that Ann (artificial neural network), this thing can be magical, he can learn to do some problems well enough to deal with. Just like us, we can learn new knowledge by studying.

But for 2 years, I've always wanted to learn about Ann, but I haven't been successful. The main reason for this is that the introduction of this technology in our domestic tutorials is too theoretical, so much so that we are discouraged by the poor foundation and self-study.

Now, I hope that through a simple example, let you first have a perceptual understanding, and then understand some of the corresponding theory, so as to achieve better learning results.

2 use and description of the sample program

This program Example 2 simple operations:

1 and operations: This is the sum of our common operations, such as: 1 and 0 = 1

2 or operation: It is our common use of the calculation, such as: 1 OR 0 = 1

After you start the program, you will see the following interface:

After clicking the "Start Training and" button, the program starts training and operations and prompts us after the training is over.

At the same time the interface becomes as follows: