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人工神经网络建模用于辣椒籽油提取工艺优化.docx

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人工神经网络建模用于辣椒籽油提取工艺优化 Abstract: Inrecentyears,artificialneuralnetworkshavegainedpopularityasapowerfultoolformodelingcomplexsystems.Oneapplicationofartificialneuralnetworksistheiruseinoptimizingtheprocessofextractingoilfrompepperseeds.Thisstudyinvestigatestheuseofartificialneuralnetworksinmodelingandoptimizingtheextractionprocessofpepperseedoil. Introduction: Pepperseedoilisavaluableproductthatisusedinthefoodandcosmeticindustries.Theextractionprocessforpepperseedoilcanbeoptimizedtoincreasetheyieldandqualityoftheoil.Thetraditionalapproachtooptimizingtheextractionprocessinvolvesdoingaseriesofexperimentstodeterminetheoptimalconditions.However,thisapproachistime-consumingandexpensive.Artificialneuralnetworksprovideanalternativeapproachtomodelingandoptimizingtheextractionprocess. Methodology: Theextractionprocessinvolvesaseriesofsteps,includingcleaning,crushing,andpressingthepepperseeds.Theinputvariablesfortheartificialneuralnetworkmodelincludethetemperature,pressure,anddurationofeachstep.Theoutputvariableistheyieldandqualityoftheoil.Thedataforthemodelisobtainedthroughexperimentation. Results: Theartificialneuralnetworkmodelaccuratelypredictedtheyieldandqualityoftheoilbasedontheinputvariables.Themodelwasthenusedtooptimizetheextractionprocesstomaximizetheyieldandqualityoftheoil.Theoptimizedconditionsinvolvedincreasingthepressureanddurationofthepressingstepwhilereducingthetemperatureanddurationofthecrushingstep. Discussion: Artificialneuralnetworksprovideapowerfultoolformodelingandoptimizingtheextractionprocessofpepperseedoil.Theuseofartificialneuralnetworkscanreducethenumberofexperimentsrequiredtooptimizetheprocess,resultingincostandtimesavings.Theoptimizedprocesscanalsoincreasetheyieldandqualityoftheoil,makingitmorevaluabletothefoodandcosmeticindustries. Conclusion: Thisstudyhasdemonstratedtheeffectivenessofusingartificialneuralnetworksformodelingandoptimizingtheextractionprocessofpepperseedoil.Theoptimizedprocesscanresultincostandtimesavings,aswellasanincreaseintheyieldan