%0 Journal Article %1 Sanossian1994 %A Sanossian, H. Y. Y. %A Evans, D. J. %D 1994 %K ANN; backpropagation; based gradient heuristic; learning range rates %N 3 & 4 %P 143-155 %R 10.1080/00207169408804347 %T Geometric moment invariance in character recognition using artificial neural networks (ANN) %U http://www.informaworld.com/smpp/content~content=a770992346~db=all %V 54 %X A number of researchers have used ANNs with different techniques to recognize invariant patterns (Lee and Oldham (1990), Burr (1988), Khotanzad and Lu (1990), Barnard and Casasent (1991), Widrow, Winter and Baxter (1987)). These techniques can be broadly classified as preprocessing the input signal to be invariant to geometrical differences. In this paper the back propagation (BP) and Gradient Range Based Heuristic (GRBH) algorithms for ANN training are presented and their learning rates compared.

@article{Sanossian1994, abstract = {A number of researchers have used ANNs with different techniques to recognize invariant patterns (Lee and Oldham (1990), Burr (1988), Khotanzad and Lu (1990), Barnard and Casasent (1991), Widrow, Winter and Baxter (1987)). These techniques can be broadly classified as preprocessing the input signal to be invariant to geometrical differences. In this paper the back propagation (BP) and Gradient Range Based Heuristic (GRBH) algorithms for ANN training are presented and their learning rates compared.}, added-at = {2011-03-27T19:35:34.000+0200}, author = {Sanossian, H. Y. Y. and Evans, D. J.}, biburl = {https://www.bibsonomy.org/bibtex/24e132fac052a535bf23f61380da90606/cocus}, doi = {10.1080/00207169408804347}, interhash = {c957c5d55e1849d02758d046aa8326b5}, intrahash = {4e132fac052a535bf23f61380da90606}, journaltitle = {International Journal of Computer Mathematics}, keywords = {ANN; backpropagation; based gradient heuristic; learning range rates}, number = {3 {\&} 4}, owner = {CK}, pages = {143-155}, timestamp = {2011-03-27T19:35:45.000+0200}, title = {Geometric moment invariance in character recognition using artificial neural networks (ANN)}, url = {http://www.informaworld.com/smpp/content~content=a770992346~db=all}, volume = 54, year = 1994 }