The experiment results show that the GC based NN ensemble method is feasible and superior to the traditional NN models. 損傷識別實(shí)驗結果表明，基于灰色聚類(lèi)的神經(jīng)網(wǎng)絡(luò )集成方法不僅可行，而且其損傷識別效果優(yōu)于傳統的神經(jīng)網(wǎng)絡(luò )模型。
This work may be valuable to system integration of coproduction system based coal gasification and other advanced clean coal technologies. 這部分工作可為以煤氣化為核心的多聯(lián)產(chǎn)技術(shù)和其他先進(jìn)潔凈煤技術(shù)的系統集成方法提供有益的借鑒。
