基于神经网络的复杂电子装备调试决策技术

Decision Technology of Complicated Electronic Equipment Debugging Based on Neural Network

摘要:

针对复杂电子装备性能指标和调试元器件参数之间存在非线性耦合关系,难以用精确数学模型表示的问题,提出一种基于神经网络的复杂电子装备调试决策方法,并构建了复杂电子装备调试数据库与知识库,开发了调试决策系统。该决策方法通过建立神经网络模型,利用历史调试数据进行训练,模拟电子装备性能指标和调试元器件参数之间的关联关系,实现调试参数的预测。仿真试验结果表明:基于神经网络模型的调试决策系统调试参数预测效果较好,可以为人工调试提供决策支持。

Abstract:

Aiming at the problem that it is hard to express the nonlinear couplingrelationship between the complex electronic equipment performances and the debuggingcomponents parameters by a precise mathematical model, a debugging decision method otcomplicated electronic equipment based on neural network is put forward, The electronicequipment debugging database and knowledge base are constructed, and the debuggingdecision system is developed. By using historical data for training, a neural network model isestablished to simulate the incidence relationship between the electronic equipmentperformances and the debugging parameters, and the prediction of the debugging parametersis realized, The simulation results show that the prediction effect of the debugging decisionsvstem based on the neural network model is good, which can provide decision support formanual debugging.