Effectiveness of Soft Computing Tools to Discover the Pattern in Thermal Properties of Nanofluids - A Review

Soft computing tools plays a vital role in extracting the hidden pattern knowledge of any complex data. The main objectives of the tools are, for accurate prediction and classification. Nanofluids have many applications in various fields. The enhancement of nanofluids is due to its thermal properties. Mathematical models and experimental models were developed to predict the thermal properties of nanofluids. Discrepancies between these models lead to go for soft computing tools for prediction. This paper is to review the evaluation and validation techniques used by different soft computing tools. This review paper looks forward to simplify the financial strength required for test runs of nanofluids and exhibiting the effectiveness of soft computing tools by extracting the hidden patterns in it.