Quick Training Algorithm for Extra Reduced Size Lattice‐Ladder Multilayer Perceptrons
Volume 14, Issue 2 (2003), pp. 223–236
Pub. online: 1 January 2003
Type: Research Article
For the financial support author would like to thank prof. L. Ljung (Linköping University, Sweden), The Royal Swedish Academy of Sciences and The Swedish Institute – New Visby project Ref. No. 2473/2002 (381/T81).
Received
1 November 2002
1 November 2002
Published
1 January 2003
1 January 2003
Abstract
A quick gradient training algorithm for a specific neural network structure called an extra reduced size lattice‐ladder multilayer perceptron is introduced. Presented derivation of the algorithm utilizes recently found by author simplest way of exact computation of gradients for rotation parameters of lattice‐ladder filter. Developed neural network training algorithm is optimal in terms of minimal number of constants, multiplication and addition operations, while the regularity of the structure is also preserved.