Soft Computing Quiz

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What are the applications of soft computing techniques?

The applications of soft computing techniques include pattern recognition, image processing, data mining, optimization, control systems, and decision support systems.

Differentiate the features of soft computing and hard computing.

Soft computing is tolerant of imprecision, uncertainty, and partial truth, while hard computing relies on precise mathematical modeling and processing.

Differentiate between biological neuron and artificial neuron on the basis of structure and function of a single neuron.

Biological neurons are the basic units of the nervous system, while artificial neurons are mathematical models used in artificial neural networks. Biological neurons have complex structure and function, while artificial neurons are simplified models designed for specific computational tasks.

Define an artificial neural network.

<p>An artificial neural network is a computational model inspired by the structure and function of biological neural networks. It consists of interconnected nodes (neurons) that process information and can be trained to perform specific tasks.</p> Signup and view all the answers

Name some activation functions used in ANN.

<p>Some activation functions used in artificial neural networks include sigmoid, tanh, ReLU (Rectified Linear Unit), and softmax functions.</p> Signup and view all the answers