Q.--> Define an Artificial Neural Network. State the characteristics of Artificial Neural Network.
Q.--> Briefly discuss the common application domains of an Artificial Neural Network.
Q.--> Define Learning. Discuss the learning methods in brief.
Q.--> Construct a recurrent network with four different input nodes, three hidden nodes and four output nodes that has lateral inhibitation structure in the output player.
Q.--> What is the necessity of activation function? List the commonly used activation function.
Q.--> Give the comparison between single layer feed forward network and multilayer feed forward network.
Q.--> Define the following terms:
a.) Neuron b) Axon c) Synapse d) Rosenblatt's Perceptron
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Answers
Q.--> Briefly discuss the common application domains of an Artificial Neural Network.
Q.--> Define Learning. Discuss the learning methods in brief.
Q.--> Construct a recurrent network with four different input nodes, three hidden nodes and four output nodes that has lateral inhibitation structure in the output player.
Q.--> What is the necessity of activation function? List the commonly used activation function.
Q.--> Give the comparison between single layer feed forward network and multilayer feed forward network.
Q.--> Define the following terms:
a.) Neuron b) Axon c) Synapse d) Rosenblatt's Perceptron
For download the Answers, Click Answers link below:
Answers
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