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- Field Study Abstract: A Model of Ambient Air Pollution in Southeast Texas Using Artificial Neural Network Technology
- "Information about a research project to create an artificial neural network - based model of ambient air pollution."
- Early Fine-Tuning Of Neural Connections May Turn Destructive Later In Life01-06-2010
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- ... the journal Cell, sheds critical new light upon a fundamental process, while hinting at a likely mechanism behind neurodegenerative diseases like ...
- Field Study Abstract: A Model of Ambient Air Pollution in Southeast Texas Using Artificial Neural Network Technology
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- Although relatively new, neural network technology has proven to be useful in data- rich environments, such as the process industries for process control and predictive modeling ...
- 2005 Annual Report | Relating Cardiovascular Disease Risk to Ambient Air Pollutants Using Geographic Information Systems Technology and Bayesian Neural Networks: The AHSMOG Study04-05-2007
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- Develop nonlinear statistical models using Bayesian neural networks to develop alternative analytical strategies for modeling the relationship ... Likewise, the development of statistical models using neural networks and Bayesian neural networks is progressing.
- 2003 Annual Report | Relating Cardiovascular Disease Risk to Ambient Air Pollutants Using Geographic Information Systems Technology and Bayesian Neural Networks: The AHSMOG Study03-20-2006
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- Develop non-linear statistical models using Bayesian neural networks to develop alternative analytical strategies for modeling the relationship ... Likewise, the development of statistical models using neural networks and Bayesian neural networks is progressing.
- Final Report | An Artificial Neural Network and Optimization Methodology for Detecting and Managing Terrorist Attack Against Water Distribution Systems11-04-2004
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- ... become more prevalent, the need for a tool that can process this data in real time to facilitate accurate and important ...
- US EPA Mine Waste Technology Annual Report 2001, Industrial Media, Sustainable Technology, Risk Management Research, Research & Development01-18-2007
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- ... contains elements of geophysical, hydrogeological, environmental, geochemical, mining and mineral processing, extractive metallurgical, and biological engineering... data from the Berkeley Pit that were used in a neural network approach to modeling Berkeley Pit water chemistry.
- Research Center Publication Details | EAGLES - Consortium for Estuarine Ecoindicator Research for the Gulf of Mexico
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- R829458C005 (2004) not available Book Chapter Macrobenthic process indicators of estuarine condition... Journal Article Integrating LIDAR elevation data, multi-spectral imagery and neural network modelling for marsh characterization.
- 2002 Annual Report | Data Management and Analysis08-11-2003
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- Neural network software has been developed for nonlinear statistical analysis. A more sophisticated neural network software package also has been developed and currently is ...
- Final Report | A Nitric Oxide/Ammonia Sensor for Fossil Fuel Combustion Control Applications11-22-2002
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- Strong correlation between neural networks output and actual gas concentrations adequately demonstrates feasibility of ... multiple combustion gases with multiple WO3 thin films and a neural network.