Abstract
A method of thermal power enterprise safety assessment based on artificial neural network is proposed. The basic principle and algorithm of BP neural network are introduced briefly. On this foundation, sixteen assessment indexes of thermal power enterprise safety are determined, involving three aspects such as production equipment, labor safety and working environment, safety production management to form a new safety assessment index system. According to the index system, the model of comprehensive safety assessment of thermal power enterprise has been established and solved. The method has been tested and the predicted results are found to be in full compliance with the real condition of the thermal power enterprise.
| Original language | English |
|---|---|
| Pages (from-to) | 553-560 |
| Number of pages | 8 |
| Journal | Journal of Information and Computational Science |
| Volume | 6 |
| Issue number | 1 |
| Publication status | Published - Jan 2009 |
| Externally published | Yes |
Keywords
- BP neural model
- Neural network
- Safety assessment