Neural Networks with R by Giuseppe Ciaburro

Author:Giuseppe Ciaburro
Language: eng
Format: epub
Tags: COM044000 - COMPUTERS / Neural Networks, COM004000 - COMPUTERS / Intelligence (AI) and Semantics, COM032000 - COMPUTERS / Information Technology
Publisher: Packt Publishing
Published: 2017-09-25T07:49:22+00:00

In this case also, all the points above the hyperplane are assumed to be 1/TRUE, while the ones below are assumed to be 0/FALSE.

However, some Boolean functions cannot be replicated through a network structure, such as that seen up to here. The XOR and identity functions, for example, are not separable: to isolate them, two lines would be needed, which can be implemented only through the use of a more complex network structure.

In the following table are listed all the possible cases with the logical results, for the XOR function:

x1 x2 y (XOR gate)

1 1 0

1 0 1

0 1 1

0 0 0

In the following figure are shown all the four cases in a two-dimensional plane:

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