Klimasauskas GroupTM
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We have a broad range of experience in delivering high-value solutions in data-intensive applications. Below are the application and industry areas that we have worked in.


Each section contains a brief description of the application and our contribution to solving it.

  • Technical Expertise is an overview of all of our capabilities. There are two particular more recent applications that my be of interest to individuals working with neural networks:
  • Business Intelligence and Data Mining across a range of industries and applications. Our particular specialty is the development of custom tailored solutions that extract the maximum predictive power from the data.
  • Financial - Selected highly predictive sets of indicators for trading system. Developed automated stock portfolio management system. Investigated Genetic Algorithms for optimizing MACD trading rules.
  • Behavioral Sciences - Improved work processes for developing neural network models of behavior. Improved consistency of prediction for small data sets.
  • Marketing - Improved response rates on direct mail campaigns by using techniques inspired by Neural Networks to improve statistical modeling approaches. Dynamic audience profiling for real-time applications.
  • Chemical & Manufacturing - Developed hybrid modeling approach to modeling chemical processes. Applied Genetic Algorithms to state-space identification for inferential sensors based on laboratory data. Developed data selection techniques for improving process model accuracy. Process fault diagnosis using fuzzy process data encoding.
  • Semiconductor - Worked with staff at a major semiconductor manufacturer to develop an approach to modeling maintenance impact on plasma etch performance.
  • Robotics and Image Processing - Developed a teach-pendant based programming language for the Merlin robot. Developed the proto-type for a real-time vision-based adaptive welding system. Implemented prototypes for part location, tracking, and inspection.

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All rights reserved. Updated: 02/25/2007 .