The parameters effect on performance in ANN for hand gesture recognition system

Expert Systems with Applications

Volumn 38, Issue 7, 2011, Pages 7980-7983

  Tsai, Cheng Yueh ^a   Lee, Yung Hui ^b  

^a HSIN SHENG COLLEGE OF MEDICAL CARE AND MANAGEMENT   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Epoch size; Neural network; Number of layer; Performance

Indexed keywords

BACK-PROPAGATION NEURAL NETWORKS; EPOCH SIZE; HAND-GESTURE RECOGNITION; HIDDEN LAYER NEURONS; HIDDEN LAYERS; HIGHER LEARNING; LEARNING RATES; NETWORK FUNCTIONS; NUMBER OF LAYER; PERFORMANCE; RECOGNITION RATES; TRAINING EPOCHS; TRAINING SETS;

GESTURE RECOGNITION; LEARNING ALGORITHMS; NETWORK ARCHITECTURE;

NEURAL NETWORKS;

EID: 79952374734     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.086     Document Type: Article

References (15)

1. J.O. Al, and A. Halawani Recognition of gesture in Arabic sign language using neuro-fuzzy system Artificial Intelligence 133 2001 117 138 (Pubitemid 33076556)
2. G.R. Chegini, J. Khazaei, B. Ghobadian, and A.M. Goudarzi Prediction of process and product parameters in an orange juice spray dryer using artificial neural networks Journal of Food Engineering 84 2008 534 543 (Pubitemid 47384962)
3. W.C. Chen, and S.W. Hsu A neural-network approach for an automatic LED inspection system Expert Systems with Applications 33 2007 531 537
4. M. Han, L. Cheng, and H. Meng Application of four-layer neural network on information extraction Neural Networks 16 2003 547 553 (Pubitemid 36794326)
5. S. Haykin Neural networks: A comprehensive foundation 2nd ed. 1999 Prentice-Hall New Jersey
6. K.L. Hsieh Parameter optimization of a multi-response process for lead frame manufacturing by employing artificial neural networks International Journal of Advanced Manufacturing Technology 28 5 2006 584 591
7. Ikemoto, L. & Forsyth, D. A. (2004). Enriching a motion collection by transplanting limbs, In Proceeding of the 2004 ACM SIGGRAPH/Euro-graphics symposium on computer animation (pp. 99-108).
8. I. Kurt, M. Ture, and A.T. Kurum Comparing performance of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease Expert System with Applications 34 2008 366 374 (Pubitemid 46766626)
9. Y.H. Lee, and C.Y. Tsai Taiwan sign language (TSL) recognition based on 3Ddata and neural networks Expert Systems with Applications 36 2009 1123 1128
10. Li, C., Prabhakaran, B. (2005). A similarity measure for motion stream segmentation and recognition. In Proceedings of the 6th international workshop on multimedia data mining: mining integrated media and complex data MDM'05 (pp. 89-94).
11. K. Pullen, and C. Bregler Motion capture assisted animation: texturing and synthesis ACM Transactions on Graphics 21 3 2002 501 508
12. C.J. Taylor Reconstruction of articulated objects from point correspondences in a single image Computer Vision and Image Understanding 80 3 2000 349 363 (Pubitemid 32133361)
13. C.F. Tsai, and J.W. Wu Using neural network ensembles for bankruptcy prediction and credit scoring Expert System with Applications 34 2008 2639 2649
14. G.P. Zhang An investigation of neural networks for linear time-series forecasting Computers and Operations Research 28 2001 1183 1202 (Pubitemid 32722772)
15. W. Zhang, C. Bai, and G.D. Liu Neural network modeling of ecosystems: A case study on cabbage growth system Ecological Modeling 201 2007 317 325 (Pubitemid 46199018)