Erick De la Rosa

According to our database, Erick De la Rosa authored at least 11 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Neural Modeling With Guaranteed Input-Output Probability Distributions.

Wen Yu, Erick De la Rosa

IEEE Trans. Syst. Man Cybern. Syst., 2021

2020

Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory.

Erick De la Rosa, Wen Yu

IEEE Trans. Syst. Man Cybern. Syst., 2020

2019

Deep Boltzmann machine for nonlinear system modelling.

Wen Yu, Erick De la Rosa

Int. J. Mach. Learn. Cybern., 2019

2018

Conditional probability calculation using restricted Boltzmann machine with application to system identification.

Erick De la Rosa, Wen Yu

CoRR, 2018

2017

Data-Driven Fuzzy Modeling Using Deep Learning.

Erick De la Rosa, Wen Yu

CoRR, 2017

Probability based fuzzy modeling.

Erick De la Rosa, Wen Yu, Xiaoou Li

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Fuzzy Modeling from Black-Box Data with Deep Learning Techniques.

Erick De la Rosa, Wen Yu, Humberto Sossa

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016

Randomized algorithms for nonlinear system identification with deep learning modification.

Erick De la Rosa, Wen Yu

Inf. Sci., 2016

Nonlinear system modeling with deep neural networks and autoencoders algorithm.

Erick De la Rosa, Wen Yu, Xiaoou Li

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Restricted Boltzmann Machine for Nonlinear System Modeling.

Erick De la Rosa, Wen Yu

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Nonlinear system identification using deep learning and randomized algorithms.

Erick De la Rosa, Wen Yu, Xiaoou Li

Proceedings of the IEEE International Conference on Information and Automation, 2015