Education and Career Forum

Cochin University B. Tech in Information Technology 7th Sem - Neuro Computing Papers are based on a motive to test the student’s knowledge of the subject through the means of challenging and intelligent questions on neuro computing. The topics from which questions are likely include the biological prototypes of Artificial Neural Networks, different classes of PDP model, short notes on generalization abstraction and fault tolerance, explanation of the concept of linear separability with suitable examples, back propagation algorithm, ADALINE model, the various stages in the operation of ART network, the meaning of terms like Kohonen layer, train process in the Kohonen layer and so on. These questions are from the syllabi topics but they need to be applied in the correct manner for the student to score high marks in this paper. Some of the other topics include vector quantization and Cognitron model. You can get to know more about this if you go through the previous year's papers which you can download from below.

i just want to confirm the basic crieteria for entering in the infosys. what we have to study?

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