Artificial Neural Networks- Growth & Learn: a Survey
Apoorvi Sood
Apoorvi Sood, Done B.E, M.Tech and now pursuing Ph.D. Working as Assistant professor in CSE & IT Department in ITM University.
Manuscript received on June 05, 2013. | Revised Manuscript received on June 29, 2013. | Manuscript published on July 05, 2013. | PP: 103-104 | Volume-3 Issue-3, July 2013. | Retrieval Number: C1666073313/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Incremental Learning using Constructive algorithms help us to change the structure of the neural network by adding or removing the links. These algorithms start with a small network which grows dynamically by the addition of hidden layers/units. Thus we need to overcome the problem of overfitting and get a network with high generalization performance
Keywords: Artificial Neural Networks, Constructive Algorithms, Optimization Algorithms, Genetic Algorithms, non-Evolutionary Algorithms.