Cochin University B. Tech in Information Technology 7th Sem - Artificial Neural Networks Papers
Cochin University provides a great platform for the under graduates in the field of engineering. This is one of the renowned universities of the nation which gives their students a good infrastructure along with awesome teaching staffs. B. tech in Information Technology is probably the course which students are opting for now days, as for the rapid growth of IT industries and software sectors.
Paper Description:
Artificial Neural Networks is a highlighted subject for the students of Information Technology. This deals with the study of artificially built up neuron network almost like the nervous system of a human body. This is made to simplify the real body nervous system. The algorithm and working of artificial neural network is simple compared to biological neuron network. Artificial Neural Networks is mostly used for speech recognition, adaptive control, for construction of software agents in various computer games and even in designing the working or functioning of autonomous robots.
Frequently asked questions:
There are few important questions and some highlighted topics that the students need to be concerned about. Some of those are as follows:
Define and describe various types of activation functions.
Explain Boltzmann training method.
Explain how back propagation network is trained.
Describe two mode of operation of counter propagation of network.
Questions come from modes of Kohonen network and Art network.
Paper Pattern:
Artificial Neural Networks Papers of B. Tech in Information Technology consists of a total of 100 marks with only one section of questions. This is completely a subjective type paper which comprises of ten questions or more. Every question of this paper consists of 20 marks. Thus the candidates need to attend only five questions out of the ten given questions.
The questions may or may not have a sub part and is optional to its next question. The total time given for the completion of this paper is 3 hours.
Recommended books:
- Artificial Neural Network – Applications by Chi Leung Patrick Hui
- Elements of Artificial neural network by Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka
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