OPTIMIZING PARAMETERS OF THE TWO-LAYER PERCEPTRONS’ BOOSTING ENSEMBLE TRAINING FOR ACCURACY IMPROVEMENT IN WEAR STATE DISCONTINUOUS TRACKING MODEL REGARDING STATISTICAL DATA INACCURACIES AND SHIFTS

  • V.V. Romanuke

Abstract

There is a trial of optimization for improving accuracy in tracking metal tool wear states discontinuously, when the states’ finite set has been statistically tied to the set of representative wear influencing factors. Range of wear states is pre-sumed to be wholly sampled into those factors. The tracker is a static model based on boosting ensemble of two-layer percep-trons with nonlinear transfer functions. It successfully regards statistical data inaccuracies and shifts in a problem of tracking 24 wear states featured with 16 wear influencing factors. Having increased number of classifiers within the ensemble up to 30, the averaged gain with the optimized ensemble is about 56 % in respect of the best ensemble of three classifiers. Simi-larly, variance of tracking error rate over 24 wear states is about 53 % lower. Nearly the same results are registered when the ensemble is composed without training, but just setting every classifier’s weight to one thirtieth. To get the perfected accu-racy more, such equally-weighted compositions shall be investigated in the sequel.

References

1. Chungchoo C. On-line tool wear estimation in CNC turning operations using fuzzy neural network model / C. Chungchoo, D. Saini. International Journal of Machine Tools and Manufacture. 2002. Volume 42, Issue 1. P. 29 - 40.
2. Romanuke V.V. Wear state discontinuous tracking model as two-layer perceptron with nonlinear transfer functions being trained on an extended general totality regarding statistical data inaccuracies and shifts. Problems of tribology. 2014. N. 3. P. 50 - 53.
3. Romanuke V.V. Accuracy improvement in wear state discontinuous tracking model regarding statis-tical data inaccuracies and shifts with boosting mini-ensemble of two-layer perceptrons. Problems of tribology. 2014. N. 4. P. 55 - 58.
Published
2015-06-29
How to Cite
Romanuke, V. (2015). OPTIMIZING PARAMETERS OF THE TWO-LAYER PERCEPTRONS’ BOOSTING ENSEMBLE TRAINING FOR ACCURACY IMPROVEMENT IN WEAR STATE DISCONTINUOUS TRACKING MODEL REGARDING STATISTICAL DATA INACCURACIES AND SHIFTS. Problems of Tribology, 75(1), 65-68. Retrieved from http://tribology.khnu.km.ua/index.php/ProbTrib/article/view/447
Section
Articles

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