| 摘要: |
| 根据神经网络学习算法和专家系统的原理，提出了利用BP算法对管制中心系统进行效能评估的系统结构和功能实现方法，构造了管制中心系统的效能评估模型。并结合实例，对管制中心系统的效能评估过程进行了研究，给出了基于神经网络对管制中心系统进行量化评估的一种方法。 |
| 关键词: 管制中心系统 神经网络 专家系统 效能评估 BP算法 |
| DOI：10.3969/j.issn.1001-893X. |
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| 基金项目: |
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| Air Control System Efficacy Evaluation Based on Neural Network |
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| Abstract: |
| According to the principle of neural network learning algorithm and expert system, this paper gives a system structure, function realization and an evaluation model to evaluate air traffic control system efficacy based on BP algorithm. A study of the procedure to evaluate efficacy of air traffic control system is conducted with an example of a real en-route air traffic control center, which illustrates a way to assess air traffic control system efficacy using neural network. |
| Key words: Air traffic control system,Neural network,Expert system,Efficacy evaluation,Bp algorithm, |
