'Inverse model' presentation slideshows

Emissions from China: Implications for the Regional and Global Environment

Emissions from China: Implications for the Regional and Global Environment. Yuxuan Wang Advisor: Michael McElroy Ph.D. Thesis Defense January. 21, 2005. Surface Air Quality is not just a Regional Issue.

456 views • 38 slides

Determining emissions of environmentally important gases using data from aircraft and satellites

Determining emissions of environmentally important gases using data from aircraft and satellites. Paul Palmer. with Dorian Abbot, Arlene Fiore, Colette Heald, Daniel Jacob, Dylan Jones, Jennifer Logan, Loretta Mickley, Bob Yantosca Harvard University Randall Martin, Kelly Chance, Thomas Kurosu

348 views • 28 slides

From Motor Babbling to Planning

From Motor Babbling to Planning. Cornelius Weber Frankfurt Institute for Advanced Studies Johann Wolfgang Goethe University, Frankfurt, Germany Bio-Inspired Autonomous Systems Workshop 26 th - 28 th March 2008, Southampton. Reinforcement Learning: Trained Weights. actor units. value.

514 views • 27 slides

Simulation and Experimental Verification of Model Based Opto-Electronic Automation

Simulation and Experimental Verification of Model Based Opto-Electronic Automation. Shubham K. Bhat , Timothy P. Kurzweg, and Allon Guez. Drexel University Department of Electrical and Computer Engineering. skb25@drexel.edu , kurzweg@ece.drexel.edu , guezal@drexel.edu. Overview.

333 views • 21 slides

Presenter: Huang, yi-ru Advisor: Ni, chuen-fa Date: 2008/10/09

192 views • 19 slides

Lab

Lab. Neural Networks based control of nonlinear systems. Identification of dynamic systems with Artificial Neural Networks. Dynamic/ feedback network:. Eduard Petlenkov, Automaatikainstituut, 201 3. Identification with Artificial Neural Networks. is theinput of the system and the model.

405 views • 17 slides

Lab

Lab. Neural Networks based control of nonlinear systems. Identification of dynamic systems with Artificial Neural Networks. Dynamic/ feedback network:. Eduard Petlenkov, Automaatikainstituut, 2014. Identification with Artificial Neural Networks. is theinput of the system and the model.

319 views • 17 slides

A physical basis of GOES SST retrieval

A physical basis of GOES SST retrieval. Prabhat Koner Andy Harris Jon Mittaz Eileen Maturi. Summary. One year match up database ( Buoy & Satellite) has been analyzed to understand the retrieval problem of satellite measurement.

324 views • 17 slides

GERF S1

GERF S1. Top-down approach to estimation of the regional carbon budget in West Siberia. Inverse modeling of regional CO2 fluxes using tower network in West Siberia. S. Maksyutov (1) T. Machida, K. Shimoyama, N.Kadygrov, A. Itoh (1) P. Patra (2)

282 views • 16 slides

Using General Inverse Theory to Calibrate the Island Recharge Problem in EXCEL

220 views • 15 slides

Prabir K. Patra Acknowledgements to:

Prabir K. Patra Acknowledgements to: M. Ishizawa, S. Maksyutov, S. Venevsky, G. Inoue, T. Nakazawa GCP/ESF: Vulnerability of the Carbon Cycle to Drought and Fire 5-8 June 2006. Effects of drought and fire on interannual variability in CO 2 as derived using atmospheric- CO 2 inversion.

158 views • 15 slides

Geosource

274 views • 13 slides

Neural Network Based Control

Neural Network Based Control. Dan Simon Cleveland State University. Neural Control Architectures. Inverse model approach Direct control (derivative-free training) Reference control learning Direct model reference adaptive control Indirect model reference adaptive control

1.45k views • 11 slides

EXAMPLE 6

Ticket Prices. EXAMPLE 6. Find the inverse of a power model. The average price P (in dollars) for a National Football League ticket can be modeled by. P = 35 t 0.192.

85 views • 7 slides

Deriving Asian emissions of CO by inverting aircraft observations of CO during TRACE-P

Deriving Asian emissions of CO by inverting aircraft observations of CO during TRACE-P. Paul Palmer, D. Jones, C. Heald, D. Jacob Harvard University. B. Duncan (EPFL) , G. Sachse (NASA Langley) , D. Streets (Argonne Nat. Lab.) , R. Hoffman (AER Inc). Forward model (GEOS-CHEM 2x2.5 o ).

144 views • 6 slides

MODEL SIMULATIONS

Japan. China. Slope (> 840 mb) = 22 R 2 = 0.45. Slope (> 840 mb) = 51 R 2 = 0.76. Offshore China. Over Japan. Glen Sachse and Stephanie Vay NASA Langley.

79 views • 1 slides

Uptake, Storage, and Transport:

70 views • 1 slides