book

Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution

Name: Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution
Author: Alexandre Bergel
ISBN: 9781484253847

by Alexandre Bergel

June 2020

Beginner to intermediate

394 pages

7h 17m

English

Apress

Content preview from Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution

A. BergelAgile Artificial Intelligence in Pharohttps://doi.org/10.1007/978-1-4842-5384-7_5

5. Data Classification

Alexandre Bergel¹

(1)

Santiago, Chile

Neural networks have an incredibly large range of applications. Classifying data is a prominent one, and this chapter is devoted to it.

5.1 Training a Network

In the previous chapter, we saw that we can obtain a trained neural network to express the XOR logical gate. In particular, we saw the following script:

n := NNetwork new.

n configure: 2 hidden: 3 nbOfOutputs: 1.

20000 timesRepeat: [

n train: #(0 0) desiredOutputs: #(0).

n train: #(0 1) desiredOutputs: #(1).

n train: #(1 0) desiredOutputs: #(1).

n train: #(1 1) desiredOutputs: #(0).

After evaluating ...

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