Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin temperature in lower limb prostheses.
暂无分享,去创建一个
Ivan Glesk | Neha Mathur | Arjan Buis | I. Glesk | A. Buis | N. Mathur
[1] M. Sugeno,et al. Structure identification of fuzzy model , 1988 .
[2] Glenn K. Klute,et al. Measuring Residual Limb Skin Temperatures at the Skin-Prosthesis Interface , 2008 .
[3] S. F. Kodad,et al. Modeling, Design & Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Speed Control of Induction Motor , 2010 .
[4] Mark W. Watson. Introduction to econometrics. , 1968 .
[5] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[6] T. Chai,et al. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature , 2014 .
[7] Ivan Glesk,et al. Skin Temperature Prediction in Lower Limb Prostheses , 2016, IEEE Journal of Biomedical and Health Informatics.
[8] H. Theil. Introduction to econometrics , 1978 .
[9] Nadia Nedjah,et al. Fuzzy Systems Engineering: Theory and Practice , 2005 .
[10] Fred L. Collopy,et al. Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons , 1992 .
[11] William R Ledoux,et al. Residual-limb skin temperature in transtibial sockets. , 2005, Journal of rehabilitation research and development.
[12] Carl E. Rasmussen,et al. In Advances in Neural Information Processing Systems , 2011 .
[13] Kazuo Tanaka,et al. Successive identification of a fuzzy model and its applications to prediction of a complex system , 1991 .
[14] G K Klute,et al. The thermal conductivity of prosthetic sockets and liners , 2007, Prosthetics and orthotics international.
[15] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.