DTIC ADA416027: Final Progress Report on Robust pdf

DTIC ADA416027: Final Progress Report on Robust

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Description of the Book:

The purpose of this project is to develop a general and systematic approach to robust and/or adaptive filtering in the presence of uncertain environmental parameters. Mathematical justification, intuitive understanding and numerical confirmation of risk-averting neural networks for general robust processing with various degrees of robustness have been achieved. Those of neural networks with long- and short-term memories for general adaptive processing have also been accomplished. A novel method of training neural networks that is effective in avoiding poor local minima has been discovered. This discovery is a major breakthrough in the development of neural computing. Robust neural filters have been mathematically justified and numerically tested. General adaptive filtering and general robust adaptive filtering turned out to be much more difficult than expected. Nevertheless, schemes for them by neural computing, which are mathematically natural and convincing, have finally been conceived

• Creator/s: Defense Technical Information Center
• Date: 9/30/2002
• Year: 2002
• Book Topics/Themes: DTIC Archive, Lo, James T, MARYLAND TECHNOLOGY CORP ELLICOTT CITY, *NEURAL NETS, *INFORMATION PROCESSING, MATHEMATICAL FILTERS, ADAPTIVE FILTERS

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