A Perceptron Is A) A Single Layer Feed Forward Neural Network With Pre Processing B) An Auto Associative Neural Network C) A Double Layer Auto Associative Neural Network D) A Neural Network That Contains Feedback

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⟩ A perceptron is a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback

a) a single layer feed-forward neural network with pre-processing

Explanation:

The perceptron is a single layer feed-forward neural network. It is not an auto-associative network because it has no feedback and is not a multiple layer neural network because the pre-processing stage is not made of neurons.

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Having multiple perceptrons can actually solve the XOR problem satisfactorily this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.
a) True - this works always, and these multiple perceptrons learn to classify even complex problems.
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c) True - perceptrons can do this but are unable to learn to do it - they have to be explicitly hand-coded
d) False - just having a single perceptron is enough

A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is
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Question and Answer:

Home AI Neural Networks

⟩ A perceptron is a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback

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⟩ A perceptron is a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback

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