Automatic model selection for fully connected neural networks

Autor: Ghazaale Leylaz, Jian-Qiao Sun, Shangjie Frank Ma, Oliver Schütze, David Laredo

Publikováno v: International Journal of Dynamics and Control. 8:1063-1079

Neural networks and deep learning are changing the way that artificial intelligence is being done. Efficiently choosing a suitable network architecture and fine tuning its hyper-parameters for a specific dataset is a time-consuming task given the sta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93038fd92509c2c1f343ea0749721b86
https://doi.org/10.1007/s40435-020-00708-w

A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems

Autor: David Laredo, Oliver Schütze, Jian-Qiao Sun, Zhaoyin Chen

Publikováno v: Laredo, David; Chen, Zhaoyin; Schütze, Oliver; & Sun, Jian-Qiao. (2019). A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems.. Neural networks : the official journal of the International Neural Network Society, 116, 178-187. doi: 10.1016/j.neunet.2019.04.016. UC Merced: Retrieved from: http://www.escholarship.org/uc/item/5d25p602
Neural networks : the official journal of the International Neural Network Society, vol 116

This paper presents a framework for estimating the remaining useful life (RUL) of mechanical systems. The framework consists of a multi-layer perceptron and an evolutionary algorithm for optimizing the data-related parameters. The framework makes use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ee3e18eb525ef9cb8ac07f49ef9aa81
http://arxiv.org/abs/1905.05918

Multi-state Markov Model for Reliability Analysis of a Combined Cycle Gas Turbine Power Plant

Autor: Anatoly Lisnianski, Hanoch Ben Haim, David Laredo

Publikováno v: 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO).

This paper presents a reliability analysis of a combined cycle gas turbine (CCGT) power plant. A Multi-state Markov model is introduced for a two-shaft CCGT where combustion turbine and steam turbine are coupled to a proper generator. The model is a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::614f2e15e01889884fadfa26d2ce7a7a
https://doi.org/10.1109/smrlo.2016.31

The dominant effect of alumina on nearfield plume radiation

Autor: David W. Netzer, David Laredo

Publikováno v: Journal of Quantitative Spectroscopy and Radiative Transfer. 50:511-530

Solid propellant rocket motors can achieve high specific impulse with metal fuel additives such as aluminum. Combustion of aluminum produces condensed alumina particles. Besides causing performance losses in the nozzle, the condensed Al2O3 particles

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::234bee6072406cef5e95c5de3eb24db1
https://doi.org/10.1016/0022-4073(93)90044-i

Modification and experimental validation of a combined optical and collection probe for solid propellant exhaust analysis

Autor: Kellman, Lyle J.

A combined optical and collection particle sizing probe was further developed and utilized for in situ measurements in the exhaust plumes of solid propellant rocket motors. Probe shock-swallowing capabilities were verified using Schlieren observation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2778::fb9bea95a95d1525f14e361e3d1f6cec
https://hdl.handle.net/10945/26642