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Erick De la Rosa

2 papers hereh-index 6153 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.SY2

identity via Semantic Scholar / OpenAlex

most citedData-Driven Fuzzy Modeling Using Deep Learning

45 citations · 45 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SY2018

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

Erick de la Rosa, Wen Yu

There are many advantages to use probability method for nonlinear system identification, such as the noises and outliers in the data set do not affect the probability models signif…

eess.SY2017★ 45 cited

Data-Driven Fuzzy Modeling Using Deep Learning

Erick de la Rosa, Wen Yu

Fuzzy modeling has many advantages over the non-fuzzy methods, such as robustness against uncertainties and less sensitivity to the varying dynamics of nonlinear systems. Data-driv…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.