字形刻痕
发表于 2025-3-23 12:38:19
http://reply.papertrans.cn/32/3108/310711/310711_11.png
zonules
发表于 2025-3-23 14:02:04
https://doi.org/10.1007/978-1-349-09001-3n locally optimized parameters and globally optimized parameters. The multithreaded local learning regularization neural networks are implemented with OpenMP. The accuracy of the algorithms is tested against several benchmark datasets. The parallel efficiency and speedup is evaluated on a multi-core system.
救护车
发表于 2025-3-23 20:39:51
On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks in this work the prediction of the surface roughness (..) evolution based on Recurrent Neural Networks is presented with the capability to generalize to new grinding wheels and conditions. Results show excellent prediction of the surface finish evolution. The absolute maximum error is below 0.49µm, being the average error around 0.32µm.
BURSA
发表于 2025-3-23 23:16:55
http://reply.papertrans.cn/32/3108/310711/310711_14.png
ABASH
发表于 2025-3-24 05:30:43
http://reply.papertrans.cn/32/3108/310711/310711_15.png
1分开
发表于 2025-3-24 06:35:16
Multithreaded Local Learning Regularization Neural Networks for Regression Tasksn locally optimized parameters and globally optimized parameters. The multithreaded local learning regularization neural networks are implemented with OpenMP. The accuracy of the algorithms is tested against several benchmark datasets. The parallel efficiency and speedup is evaluated on a multi-core system.
放逐某人
发表于 2025-3-24 13:44:46
http://reply.papertrans.cn/32/3108/310711/310711_17.png
联合
发表于 2025-3-24 15:17:07
Self-Train LogitBoost for Semi-supervised Learninghe Logitboost regression tree model is more confident at the unlabeled instances. We performed a comparison with other well-known semi-supervised classification methods on standard benchmark datasets and the presented technique had better accuracy in most cases.
预感
发表于 2025-3-24 23:05:53
Conference proceedings 2015ormatics; intelligent medical modeling; life-earth sciences intelligent modeling; learning-algorithms; intelligent telecommunications modeling; fuzzy modeling; robotics and control; smart cameras; pattern recognition-facial mapping; classification; financial intelligent modeling; echo state networks..
linear
发表于 2025-3-25 00:12:07
http://reply.papertrans.cn/32/3108/310711/310711_20.png