Examples: Difference between revisions
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== Logical Functions == |
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Training an artificial neural network to learn logical functions is just interesting in learning the use of such a network, but not for practical use. The only interesting thing behind learning the XOR function is that in history of development of neural networks it was figured out the XOR function cannot be learned by just one neuron. But in the past it was quite difficult mathematically to find a solution to connect a few neurons together. |
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* [[logical XOR function]] |
* [[logical XOR function]] |
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* logical OR function |
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* logical AND function |
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== Prediction == |
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One benefit of multilayer perceptron is the possibility of prediction. |
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* [[Selling Icecreams]] |
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* [[Lottery]] |
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Latest revision as of 11:58, 4 October 2025
Logical Functions
Training an artificial neural network to learn logical functions is just interesting in learning the use of such a network, but not for practical use. The only interesting thing behind learning the XOR function is that in history of development of neural networks it was figured out the XOR function cannot be learned by just one neuron. But in the past it was quite difficult mathematically to find a solution to connect a few neurons together.
- logical XOR function
- logical OR function
- logical AND function
Prediction
One benefit of multilayer perceptron is the possibility of prediction.
