Using a feed-forward neural network for solving a classification problem

Description

In this experiment a two-layer feed-forward neural network with 2 hidden neurons is trained on the Sonar, Mines vs. Rocks data set.

Input

Sonar, Mines vs. Rocks [UCI MLR]

Output

Figure 8.4. The classification accuracy of the neural network on the data set.

The classification accuracy of the neural network on the data set.

Interpretation of the results

The figure shows that the neural network perfectly classifies all but one of the training examples.

Video

Workflow

ann_exp2.rmp

Keywords

feed-forward neural network
supervised learning
classification

Operators

Apply Model
Neural Net
Performance (Classification)
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