Neural Networks Quiz

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What do positive weights in artificial neural networks reflect?

Linear combinations

Inhibitory connections

Excitatory connections (correct)

Activation functions

What controls the amplitude of the output in artificial neural networks?

Linear combination

Activation function (correct)

Synaptic connections

Neuron modification

In a biological neural network, what are connections between axons and dendrites usually called?

Weights

Neurons

Nodes

Synapses (correct)

What is the purpose of adaptive control in artificial neural networks?

To adjust to changing conditions Signup and view all the answers

What can artificial neural networks derive conclusions from?

A complex and seemingly unrelated set of information Signup and view all the answers

What is the purpose of an activation function in artificial neural networks?

To control the amplitude of the output Signup and view all the answers

What do negative weights in artificial neural networks typically indicate?

Inhibitory connections Signup and view all the answers

In a biological neural network, what are connections from axons to dendrites usually called?

Synapses Signup and view all the answers

What is the term for the process of self-learning resulting from experience within neural networks?

Adaptive control Signup and view all the answers

What do artificial neural networks model connections of as weights between nodes?

Biological neurons Signup and view all the answers

Neural Networks Quiz

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Questions and Answers

What do positive weights in artificial neural networks reflect?

What controls the amplitude of the output in artificial neural networks?

In a biological neural network, what are connections between axons and dendrites usually called?

What is the purpose of adaptive control in artificial neural networks?

What can artificial neural networks derive conclusions from?

What is the purpose of an activation function in artificial neural networks?

What do negative weights in artificial neural networks typically indicate?

In a biological neural network, what are connections from axons to dendrites usually called?

What is the term for the process of self-learning resulting from experience within neural networks?

What do artificial neural networks model connections of as weights between nodes?

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