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APPLICATION OF ADAPTIVE NEURAL-NETWORK SIMULATORS DURING STUDY OF STRESSED-STRAINED STATE OF COMPLEX MECHANICAL CONSTRUCTIONS

By Alexey Yurievich Ippa

Abstract

There the effectiveness of use of class of neural-network simulators to identify the connection between the characteristics of stressed-strained state and of natural vibrations has been proved; the connection between the neural-network simulators and the simulators of non-parametrical regression analysis has been brought out. The learning algorithm of neural-network simulators has been developed, the software has been created, the system of gathering and analysis of experimental information has been developed, the engineering techniques to identify the local stresses and the local disturbances in the heterogeneous media have been developed. The developed system has been made the part of Laboratory of Regional Prediction of Property Change and Caving of Rock Solids, All-Russian Research Institute of Metrology (St.-Petersburg)Available from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio

Topics: 06D - Bionics, 13M - Structural engineering, GENERAL AND COMPLEX PROBLEMS OF TECHNICAL AND APPLIED SCIENCES AND BRANCHES OF NATIONAL ECONOMY, MATHEMATICS, MECHANICAL ENGINEERING
Year: 1995
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Provided by: OpenGrey Repository
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