Mathur, N., Glesk, I., & Buis, A. (2016). 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. Medical Engineering & Physics, 38(10), 1083. https://doi.org/10.1016/j.medengphy.2016.07.003
Chicago Style (17th ed.) CitationMathur, Neha, Ivan Glesk, and Arjan Buis. "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." Medical Engineering & Physics 38, no. 10 (2016): 1083. https://doi.org/10.1016/j.medengphy.2016.07.003.
MLA (9th ed.) CitationMathur, Neha, et al. "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." Medical Engineering & Physics, vol. 38, no. 10, 2016, p. 1083, https://doi.org/10.1016/j.medengphy.2016.07.003.