響應(yīng)面法和人工神經(jīng)網(wǎng)絡(luò)優(yōu)化亞臨界CO2等壓萃取葡萄籽油工藝及動(dòng)力學(xué)研究
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頁(yè)數(shù): 10 2024-03-20
摘要: 以葡萄籽油萃取率為指標(biāo),通過(guò)響應(yīng)面法(Response surface methodology, RSM)和人工神經(jīng)網(wǎng)絡(luò)(Artificial neural network, ANN)對(duì)亞臨界CO2等壓萃取葡萄籽油工藝進(jìn)行建模和優(yōu)化,研究主要工藝參數(shù)(萃取壓力、分離溫度、萃取時(shí)間)對(duì)葡萄籽油萃取率的影響,且通過(guò)RSM和人工神經(jīng)網(wǎng)絡(luò)耦合遺傳算法(Artificial neural... (共10頁(yè))