Time Series Forecasting On Etth2 336 1

MAE

MSE

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة

اسم النموذج	MAE	MSE
are-transformers-effective-for-time-series	0.465	0.448
long-term-series-forecasting-with-query	1.2189	2.6617
segrnn-segment-recurrent-neural-network-for	0.374	0.325
ltboost-boosted-hybrids-of-ensemble-linear	0.401	0.355
informer-beyond-efficient-transformer-for	1.035	1.665
revisiting-long-term-time-series-forecasting	0.386	0.325
xpatch-dual-stream-time-series-forecasting	0.360	0.312
a-time-series-is-worth-64-words-long-term	0.384	0.329
are-transformers-effective-for-time-series	0.4	0.357
time-evidence-fusion-network-multi-source	0.434	0.423
mixture-of-linear-experts-for-long-term-time	-	0.371
time-series-is-a-special-sequence-forecasting	0.409	0.365
mixture-of-linear-experts-for-long-term-time	-	0.419
film-frequency-improved-legendre-memory-model	0.417	0.377
disentangled-interpretable-representation-for	-	0.35
prformer-pyramidal-recurrent-transformer-for	-	0.361
tsmixer-lightweight-mlp-mixer-model-for	0.401	0.357
long-term-series-forecasting-with-query	1.1859	2.3168
long-term-forecasting-with-tide-time-series	0.407	0.36
patchmixer-a-patch-mixing-architecture-for	0.368	0.317