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greatly reduces » greatly reduced (Expand Search)
greatly reduce » greatly reduced (Expand Search)
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261
Physical and mechanical parameters of soils.
Published 2025“…Furthermore, the difference between the upper and lower deformations was reduced as burial depth increased. Notably, the maximum deformation exhibited a direct proportionality with the stacking load, while both the deformation and its rate of reduction decreased with buried depth increased. …”
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262
Supplementary data files.
Published 2025“…Furthermore, the difference between the upper and lower deformations was reduced as burial depth increased. Notably, the maximum deformation exhibited a direct proportionality with the stacking load, while both the deformation and its rate of reduction decreased with buried depth increased. …”
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263
Experimental design and sensor layout.
Published 2025“…Furthermore, the difference between the upper and lower deformations was reduced as burial depth increased. Notably, the maximum deformation exhibited a direct proportionality with the stacking load, while both the deformation and its rate of reduction decreased with buried depth increased. …”
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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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267
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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268
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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269
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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270
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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271
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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272
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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273
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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274
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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275
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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276
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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277
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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278
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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