College of Civil Engineering, Tongji University
00 分钟
2024-1-22
Time
Jul 1, 2023 → Jan 1, 2024
Subject
DNN–GA–RF Prediction Model for Rock Strength Indicators Based on Sound Level and Drilling Parameters
Content
Improved the rock strength indicators based on sound level and drilling parameters estimation algorithm for the elderly assistance system. Using the DNNGARF algorithm I designed can perform best on metrics such as MAPE, and even without the aid of sound level assistance, its effectiveness is still better than traditional models like SVM.
DNN–GA–RF Prediction Model for Rock Strength Indicators Based on Sound Level and Drilling Parameters
Improved the rock strength indicators based on sound level and drilling parameters estimation algorithm for the elderly assistance system. Using the DNNGARF algorithm I designed can perform best on metrics such as MAPE, and even without the aid of sound level assistance, its effectiveness is still better than traditional models like SVM.
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Rock Drilling Machine Source and its Application in In-Situ Vibration Monitoring of Rock Mass
Improved the rock strength indicators based on sound level and drilling parameters estimation algorithm for the elderly assistance system. Using the DNNGARF algorithm I designed can perform best on metrics such as MAPE, and even without the aid of sound level assistance, its effectiveness is still better than traditional models like SVM.

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