Title :
Analysis of autoassociative mapping neural networks
Author :
Ikbal, M. Shajith ; Misra, Hemant ; Yegnanarayana, B.
Author_Institution :
Dept. of Comput. Sci. & Eng., IIT, Madras, India
Abstract :
In this paper we analyse the mapping behavior of an autoassociative neural network (AANN). The mapping in an AANN is achieved by using a dimension reduction followed by a dimension expansion. One of the major results of the analysis is that, the network performs better autoassociation as the size increases. This is because, a network of a given size can deal with only a certain level of nonlinearity. Performance of autoassociative mapping is illustrated with 2D examples. We have shown the utility of the mapping feature of an AANN for speaker verification
Keywords :
content-addressable storage; feedforward neural nets; multilayer perceptrons; AANN; autoassociation; autoassociative mapping neural networks; dimension expansion; dimension reduction; nonlinearity; speaker verification; Backpropagation; Chemicals; Computer science; Electronic mail; Feedforward neural networks; Image coding; Image recognition; Neural networks; Performance analysis; Speech recognition;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836037
