| The prediction of sustainable development is a big problem that concerns the vital interests of companies'investors and managers. With a constant improvement of security market's environment in our country, investor s ' thoughts of investment becoming gradually ripe and the managers'psychology becoming rational, there will be more extensive demands for the early warning of listed companies'sustainable development. Just in this background, this paper selects this hot problem as the thesis. And it has launched analysis and expounds in detail about the sustainable development early warning for listed companies of our country. It provides a specific review of the literatures and development framework for this problem firstly. On base of it, to avoid some limitations and insufficient that exist in the present studies, it will take analysis and make discussions in two parts, one is in theory field and the other is in empirical study.In theory study, it makes again clearly on the concept and characteristic of the companies'sustainable development. It describes and probes into the forming mechanism of sustainable development deeply. Finally, it puts forward the research mechanism to the sustainable development early warning system of the listed companies.In factual research, following the result of theory research, it ties in the Rough Set and the Artificial Nerve Network together, using the rough set to filter the redundant index, and choose the right index, then build the BP Artificial Nerve Network. In the end, this paper successfully sets up a Rough-ANN Model for the early warning of sustainable development for the traffic listed companies'. |
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