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Questions and Answers
What do positive weights in artificial neural networks reflect?
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?
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?
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?
What is the purpose of adaptive control in artificial neural networks?
What can artificial neural networks derive conclusions from?
What can artificial neural networks derive conclusions from?
What is the purpose of an activation function in artificial neural networks?
What is the purpose of an activation function in artificial neural networks?
What do negative weights in artificial neural networks typically indicate?
What do negative weights in artificial neural networks typically indicate?
In a biological neural network, what are connections from axons to dendrites usually called?
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 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?
What do artificial neural networks model connections of as weights between nodes?
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