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decrease » decreased (Expand Search), increase (Expand Search)
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Relevant parameters of the benchmark models.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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165
Peak strain and stress values of the specimens.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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166
Aggregate characteristic curves.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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167
Characteristic chart of algorithm efficiency.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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Improved BP network algorithm flow.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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169
TDS530 Static strain gauge.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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BP neural network architecture.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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Peak strain and stress curves.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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Coarse and fine aggregates used for testing.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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173
Loading setup for cured samples.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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174
Steel tube material property test.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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175
Measurement point arrangement and loading device.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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176
STCDSRAC axial compressive stress–strain curves.
Published 2025“…Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.</p></div>…”
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Determination of Light and Condensate Oil Categories in a Complex Petroleum System by Fluorescence Parameters: A Case Study on the Northern Tazhong Uplift, Tarim Basin, China
Published 2024“…For the TZ-I, TZ-II, and TZ-III oils, τ<sub>oil</sub> progressively increases, and the fluorescence spectra gradually shift blue with decreases in Q<sub>510/430</sub>, Q<sub>650/500</sub>, and λ<sub>max</sub>, which results from the successive decreases in gas invasion extent for the three types of Tazhong oils. …”
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Primers used in present study.
Published 2025“…Compared to the positive control, interleukin-6 levels were significantly reduced (P < 0.05) in all treatments. Superoxide dismutase and catalase activity increased in response to the bacterial challenge, while malondialdehyde levels gradually decreased. …”