The paper on AI And Neural Networks is a part of the C level of the DOEACC or the Department of Electronics and Accreditation of Computer Courses. The paper is based on a subjective type questions pattern and one needs an in-depth knowledge to be able to complete the paper and qualify.

Paper Pattern for AI and Neural Network Paper

The paper on AI and Neural Networks is a subjective type question paper. The paper on AI and Neural Networks is coded as C14-R3.The paper has seven questions in total and question number one is compulsory. Then one needs to choose and attempt any four from the remaining six questions carrying equal marks distribution. The first question also has an option of choosing any four from the six topics given and each of the questions carry seven marks each and are elaborative questions.

Maximum marks and time allotted

The maximum marks allotted to the paper on AI And Neural Networks is one hundred. Question one is for 28 marks and the rest four questions have 18 marks each. The time given to answer the paper is three hours only.

Questions which are common in the papers

The commonly asked questions in the paper are on topics like comparison and the contrast of the declarative and the procedural knowledge, elaborate concepts of alpha and beta cut offs, their applications in minimal search. Other topics are depth first search algorithm, a* algorithm, usage of infinite loops in the depth search algorithms, function network etc.

Tips for the students to score good marks

Students should focus on the basic concepts to get a firm grip over the subject. They should solve previous years question papers and some model papers to get acquainted with the paper and the questions.

Books you can follow

• Java Neural Networks by Jeff Heaton
• Artificial Intelligence and Neural Networks, TAINN