Omega-3 fatty acids have proven to be very essential for human health due to their multiple health benefits. These essential fatty acids (EFAs) need to be uptaken through diet because they are unable to be produced by the human body. These are important for skin and hair growth as well as for proper visual, neural, and reproductive functions of the body. These fatty acids are proven to be extremely vital for normal tissue development during pregnancy and infancy. Although present in abundance in fish, a number of factors limit our consumption of fishasedomega-3UFA’s. To name a few, overexploitation of wild fish stocks has reduced their sustainability due to increased demand of aquaculture for fish oil and meal; the pollution of marine food webs has raised concerns over the ingestion of toxic substances such as heavy metals and dioxi vegetarians do not consider fish-basedources for supplemental nutrition. Thus alternative sources are plant based omega-3 fatty acids. Shirazi balangu(Lallemantia royleana) belongs to Lamiaceae and is a medicine used in Iranian traditional and folklore medicine in the treatment of various nervous, hepatic, and renal diseases.alangu eedoil is an unexploited source which contai?-3and?-6 fatty acids. Supercritical fluid extraction (SFE) of shirazi balangu seed was investigated in this study and compared with Soxhlet extraction (SE) with hexane. 2 mL ethanol was added to the supercritical CO2 as a modifier. The interest, in using supercritical fluids as a replacement for conventional liquid solvents have increased because of the need to reduce the use of organic solvents. Supercritical fluid extraction has been studied as an alternative method for conventional extraction methods with organic solvents and carbon dioxide has been the choice for the fluid in most of the applications. The use of supercritical carbon dioxide has many advantages compared to organic solvents. The advantages are, for example that CO2 is environmentally friendly and non-toxic solvent. The response surface method was used to analyze the results of extraction. For this purpose, the effect of parameters such as pressure (13-29 MPa), temperature (37-87 °C), flow rate (0.9-2.1 ml/min), and dynamic time (40-120 min) on oil yield was investigated. The response level analysis showed that the laboratory data was well fitted with a second-order polynomial model, with a determination coefficient of 93.83% and a correction coefficient of 88.44%. It was predicted that the optimum extraction conditions within the experimental ranges would be the extraction temperature of 60.62 °C, pressure of 22.05 MPa, flow rate of 1.37 mL/min and extraction time of 79.59 min extraction time with 43.89% oil yield of extraction. Result of perfoming three test at optimal condition was 41.03% oil yield of extraction. In addition, in the present study, the extraction process was experimentally modeled using artificial intelligence techniques such as artificial neural network so that the accuracy of the model based on its determination coefficient was 95.3% which suggests that the experimental modeling with the artificial neural network is stronger than response surface methodology.