Human Brain and Artificial Neural Network

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-33 Number-1
Year of Publication : 2016
Authors : Rakesh Kumar


Rakesh Kumar "Human Brain and Artificial Neural Network". International Journal of Computer Trends and Technology (IJCTT) V33(1):38-39, March 2016. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Human brain has a very complex structure. From birth it can make its own rules by means of experience. Experience is build up over time during the first two years it make very dramatic changes. Developing neuron follow a property named as plasticity. It permits the neuron to adopt the surrounding environment. Neural network is designed to model the human brain. Network is implemented by the electronic component or is simulated in software on a digital computer.

[1] Kilgarriff, A., Senseval: An exercise in evaluating word sense disambiguation programs. In Proceedings of the First International Conference on Language Resources and Evaluation (LREC 1998), 581-588, Granada, (1998).
[2] Kilgarriff, A. and Rosenzweig, J., Framework and results for English Senseval. Computers and the Humanities, 34(1-2):15-48, (2000).
[3] Kilgarriff, A., English lexical sample task description. In Proceedings of Senseval-2, Second International Workshop on Evaluating Word Sense Disambiguation Systems, 17- 20, Toulouse, (2001).
[4] Carpuat, M., and Wu, D., Word Sense Disambiguation vs. Statistical Machine Translation. In Proceedings of the 43rd Annual Meeting of the ACL, 387–394, Ann Arbor, (2005).
[5] Carpuat, M., Su, W., and Wu, D., Augmenting ensemble classification for word sense disambiguation with a Kernel PCA model. In Proceedings of Senseval-3, Third International Workshop on Evaluating Word Sense Disambiguation Systems, Barcelona, (2004).
[6] Stevenson, M., Word Sense Disambiguation: The case for Combinations of Knowledge Sources, (2003).
[7] Duda, R. and Hart, P., Pattern Classification and Scene Analysis, John Wiley and Sons, New York, (1973).
[8] Rivest, Ronald L., Learning Decision Lists, Machine Learning, 2(3) (1987), 229-246.
[9] Quinlan, J.R., Induction of Decision Trees, Machine Learning, 1, (1986), 81-106.
[10] Rumelhart, D.E., Hinton, G.E., and Williams, R.J., Learning Internal Representations by Error Propagation. In Parallel Distributed Processing, Vol. 1, (1986), 318-362.

Human Brain, Neural network, AI.