Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling Consumer Price Index: A Machine Learning Approach Subject The topic of the resource artificial neural network; consumer price index; machine learning; mean absolute percentage error; particle swarm optimization Description An account of the resource The change in price of a group of goods and services is reflected in terms of consumer price index (CPI), making it one of the most important economic indicators. This is also the mostly used measure of inflation. Forecasted CPI values help the Government to take corrective measures to control the economic conditions of the country. This paper implements and examines two machine learning models such as artificial neural network (ANN) and ANN model optimized with particle swarm optimization (PSO) known as ANN-PSO to assess the accuracy in predictability of CPI. The data set for four groups such as food and beverages, housing, clothing, and footwear used for the calculation of all India CPI has been taken from the official website of the Government of India. The mean absolute percentage error (MAPE) has been used as the validator for model accuracy. The MAPE calculated for all experiments are less than 10% which indicates that the ANN-PSO models used are highly accurate for prediction of CPI of India. 2022 Wiley-VCH GmbH Creator An entity primarily responsible for making the resource Sarangi P.K.; Sahoo A.K.; Sinha S. Source A related resource from which the described resource is derived Macromolecular Symposia, Vol-401, No. 1 Publisher An entity responsible for making the resource available John Wiley and Sons Inc Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/masy.202100349" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/masy.202100349</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125152652&amp;doi=10.1002%2Fmasy.202100349&amp;partnerID=40&amp;md5=5f4d28551421c3b064c3388be2441d61" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125152652&amp;doi=10.1002%2fmasy.202100349&amp;partnerID=40&amp;md5=5f4d28551421c3b064c3388be2441d61</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10221360; CODEN: MSYME Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sarangi P.K., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Sahoo A.K., Graphic Era Hill University, Dehradun, 248002, India; Sinha S., Christ (Deemed to be University), Delhi, 201003, India