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

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...