Develop Enironmental Monitoring Capability for Intergrating Recent Technological Advancements into a Hybrid Artificial Neural Network System
Department of Defense
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Small Business Information
Systems Engineering Associates
Admiral's Gate Tower,5th, Floor, 221 Third Street, Newport, RI, 02840
Socially and Economically Disadvantaged:
Michael G. Fisk
AbstractWe propose to develop an Environmental Monitoring System by integrating various technologies to create a hybrid artificial neural network system. By functionally decomposing the requirements of environmental monitoring we can apply emerging technologies to fulfill these modularized requirements. Ten (10) years of experience indicate that the technologies directly applicable to specific requirements are: Artificial Neural Networks, Fuzzy Logic, Artificial Intelligence, and Object-oriented Database Management Systems. We feel that to successfully develop a system using such diverse technologies, the major tecnical problem is the integration of these modules. By functionally decomposing the requirement the hybrid system can be build in a modular, objectoriented manner. This ensures that the best, effective technology has been applied to the respective requirement. Any new technological advances can then be easily integrated into the hybrid system. Scientists presently involved in environmental research, ANN, AI, Fuzzy Logic, data comparison, and advanced system engineering will be used. These personnel will apply existing designs which successfully resolved similar problems in their respective technologies, minimizing risk of completion while leveraging available funds. GEOPHYSICS, a commercial environmental firm, has expressed a strong desire to use and comercialize the Environmental monitoring System to support their own business and profession.
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