[Theoretical and methodological approaches of the estimation of innovative potential at agroservice enterprises]
2007
Timaev, A.A., Belarus State Academy of Agriculture, Gorki (Belarus)
Questions of the effective use of present innovative opportunities at the enterprises on material-technical and resource maintenance of agriculture of Belarus are considered. The method of complex estimation of the innovative potential is suggested. Its aim is the detailed analysis of the internal condition of the enterprise with the purpose of the integrated estimation of its current condition with regard to innovations development and distributions. Special attention is given to mathematical modeling of artificial neural network, methods of the process and system management. It makes possible to consider innovative activity in the form of business-processes and to use the mechanism of constant self-improvement. The conceptual approaches containing in carried out research have allowed to develop method of complex estimation of the innovative potential, which purpose is the detailed analysis of the internal environment of the enterprise, namely conducting of integrated estimation of its current condition concerning creation, development and distribution of innovations. The mathematical algorithm of neural network modelling is established as a method basis providing application of artificial neural networks which is added by elements of process and system management. Developed estimated artificial neural networks represents a multilayer artificial neural network with two intermediate layers. The developed method of complex estimation of innovative potential possesses in relation to its analogues such advantages, as possibility of accumulation and use of available experience; processing and storing of empirical data about object activity; possibility operative additional learning and self-perfection
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