Electronics Optics & Control, Volume. 28, Issue 11, 31(2021)
An Effectiveness Evaluation Indicator System Based on Multi-Scale Parallel Convolution Neural Network
Towards the establishment of effectiveness evaluation indicator system for complex equipment, the one-dimensional convolution neural network is introduced, and a parallel processing framework with multi-scale convolution kernels is constructed.Then, the original data of equipment is learned adaptively from multiple dimensions, then the characteristics are integrated into a new effectiveness evaluation indicator system, which avoids limitation of subjective factors and computational difficulty, and lays a foundation for intelligent methods of effectiveness evaluation.
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LI Chen, CHEN Hao, LI Jianxun. An Effectiveness Evaluation Indicator System Based on Multi-Scale Parallel Convolution Neural Network[J]. Electronics Optics & Control, 2021, 28(11): 31
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Received: Nov. 23, 2020
Accepted: --
Published Online: Dec. 13, 2021
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