COMPUTER FUNDAMENTALS

Detailed explanation-1: -This preview shows page 1-4 out of 10 pages. 1. What are the issues on which biological networks proves to be superior than AI networks? a) robustness & fault toleranceb) flexibilityc) collective computationd) all of the mentionedAnswer: dExplanation: AI network should be all of the above mentioned.

Detailed explanation-2: -The term “Artificial Neural Network” is derived from Biological neural networks that develop the structure of a human brain. Similar to the human brain that has neurons interconnected to one another, artificial neural networks also have neurons that are interconnected to one another in various layers of the networks.

Detailed explanation-3: -Artificial neural networks are used for a range of applications, including image recognition, speech recognition, machine translation, and medical diagnosis. The fact that ANN learns from sample data sets is a significant advantage. The most typical application of ANN is for random function approximation.

Detailed explanation-4: -A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain.