Nonlinear system identification using deep learning and randomized algorithms. - Erick De la Rosa; Wen Yu 001; Xiaoou Li (ICIA, 2015)

Restricted Boltzmann Machine for Nonlinear System Modeling. - Erick De la Rosa; Wen Yu 001 (ICMLA, 2015)

Nonlinear system modeling with deep neural networks and autoencoders algorithm. - Erick De la Rosa; Wen Yu 001; Xiaoou Li (SMC, 2016)

Randomized algorithms for nonlinear system identification with deep learning modification. - Erick De la Rosa; Wen Yu 001 (Inf. Sci., 2016)

Fuzzy Modeling from Black-Box Data with Deep Learning Techniques. - Erick De la Rosa; Wen Yu 001; Humberto Sossa (ISNN (1), 2017)

Probability based fuzzy modeling. - Erick De la Rosa; Wen Yu 001; Xiaoou Li (SMC, 2017)

Data-Driven Fuzzy Modeling Using Deep Learning. - Erick De la Rosa; Wen Yu 001 (CoRR, 2017)

Conditional probability calculation using restricted Boltzmann machine with application to system identification. - Erick De la Rosa; Wen Yu 001 (CoRR, 2018)

Deep Boltzmann machine for nonlinear system modelling. - Wen Yu 001; Erick De la Rosa (Int. J. Mach. Learn. Cybern., 2019)

Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory. - Erick De la Rosa; Wen Yu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Neural Modeling With Guaranteed Input-Output Probability Distributions. - Wen Yu 001; Erick De la Rosa (IEEE Trans. Syst. Man Cybern. Syst., 2021)