变压器故障检测中的神经网络算法优化分析

Analysis of Neural Network Algorithm Optimization in Transformer Fault Detection

阐述基于神经网络算法对变压器故障检测进行优化设计,并在模拟数据集上进行性能评估。结果表明,优化后的算法在变压器故障检测任务中具有较好的性能表现,具有较高的准确率和泛化能力。

This paper describes the optimization design of transformer fault detection based on neural network algorithms, and evaluates its performance on simulated datasets. The results show that the optimized algorithm has good performance in transformer fault detection tasks, with high accuracy and generalization ability.