Erick De la Rosa

11 papers B 2C 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Neural Modeling With Guaranteed Input-Output Probability Distributions.
IEEE Trans. Syst. Man Cybern. Syst.
Wen Yu, Erick De la Rosa
2020 J jnl
Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory.
IEEE Trans. Syst. Man Cybern. Syst.
Erick De la Rosa, Wen Yu
2019 J jnl
Deep Boltzmann machine for nonlinear system modelling.
Int. J. Mach. Learn. Cybern.
Wen Yu, Erick De la Rosa
2018 J jnl
Conditional probability calculation using restricted Boltzmann machine with application to system identification.
CoRR
Erick De la Rosa, Wen Yu
2017 J jnl
Data-Driven Fuzzy Modeling Using Deep Learning.
CoRR
Erick De la Rosa, Wen Yu
2017 — conf
Fuzzy Modeling from Black-Box Data with Deep Learning Techniques.
ISNN (1)
Erick De la Rosa, Wen Yu, Humberto Sossa
2017 B conf
Probability based fuzzy modeling.
SMC
Erick De la Rosa, Wen Yu, Xiaoou Li
2016 B conf
Nonlinear system modeling with deep neural networks and autoencoders algorithm.
SMC
Erick De la Rosa, Wen Yu, Xiaoou Li
2016 J jnl
Randomized algorithms for nonlinear system identification with deep learning modification.
Inf. Sci.
Erick De la Rosa, Wen Yu
2015 — conf
Nonlinear system identification using deep learning and randomized algorithms.
ICIA
Erick De la Rosa, Wen Yu, Xiaoou Li
2015 C conf
Restricted Boltzmann Machine for Nonlinear System Modeling.
ICMLA
Erick De la Rosa, Wen Yu