The week's pick
Reseach Article
A Proposed Algorithm for Multivariate Artificial Neural Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 3 |
| Year of Publication: 2010 |
| Authors: B.M.Singhal |
10.5120/85-183
|
B.M.Singhal . A Proposed Algorithm for Multivariate Artificial Neural Network. International Journal of Computer Applications. 1, 3 ( February 2010), 46-47. DOI=10.5120/85-183
Abstract
As some physiological presumptions of Brain Learning techniques led to develop Artificial Neural Network ( ANN ) to compete with the Brain’s Natural learning phenomenon. Various Networks and Algorithms have been proposed to enhance the machine learning process and to achieve some thing new. In this paper we have proposed a moderate Algorithm for Multivariate Artificial Neural Network.
References
- J.Moody and C. Darken, “Fast learning in Networks of locally- tuned Processing units, Neural Computation , 1:281-294, 1989.
- N.B.Karayiannis and G.W. Mi, “Growing radial basis Neural Networks: merging supervised and unsupervised learning with network growth techniques “ IEEE Trans. On Neural Networks.
- L.N.De Castro and F.J.Von Zuben, “An Evolutionary Immune Network for data clustering “, Proc. Of the IEEE Brazelian Symposium on Neural Networks, pp. 84-89, 2000b.
- D.S.Broomhead and D.Lowe, “Multivariate functional Interpolation and adaptive Networks”, Complex Systems, 2:321-355, 1988.
- M.J.D. Powell, “Radial Basis Functions for multivariable Interpolation”, A reviw in IMA Conference, Algorithm for Appr. Of Functions and Data, J.C. Mason & M.G. Cox (eds.), Oxford , U.K.: Oxford Univ. Press, 143-167, 1987.
- C.A. Michelli, “Interpolation of Scattered Data: Distance Matrices and conditionally Positive definite Functions”, Const.Approx.,2: 11-22, 1986.
- B.M. Singhal and B.M. Agrawal, “On Multiple Integrals Involving Hypergeometric Functions of two Variables”, Jnanabha Sect. A. Vol. 4, July 1974.
Index Terms
Keywords