International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 85 - Issue 2 |
Published: January 2014 |
Authors: F Fareeza, B. Rama Murthy |
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F Fareeza, B. Rama Murthy . Design of Neural Estimator for Non-Linear Interacting Process. International Journal of Computer Applications. 85, 2 (January 2014), 40-47. DOI=10.5120/14817-3045
@article{ 10.5120/14817-3045, author = { F Fareeza,B. Rama Murthy }, title = { Design of Neural Estimator for Non-Linear Interacting Process }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 85 }, number = { 2 }, pages = { 40-47 }, doi = { 10.5120/14817-3045 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A F Fareeza %A B. Rama Murthy %T Design of Neural Estimator for Non-Linear Interacting Process%T %J International Journal of Computer Applications %V 85 %N 2 %P 40-47 %R 10.5120/14817-3045 %I Foundation of Computer Science (FCS), NY, USA
Real processes often exhibit non-linear behavior; time variance and delay between input and output, having a vast amount of highly correlated data and this correlation need to be utilized in the design of estimator. In this work, an interacting non-linear (conical tank) is taken for study and a neural estimator is designed using Data driven approach. The neural network is developed in hardware on a customized Linux kernel and implemented using python language. The second order training algorithm is modified using a batch update strategy and this approach along with the hardware implementation reduces the estimator training period and makes it highly suited to online.