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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Machine Learning Approach for the Prediction of Consumer Food Price Index Subject The topic of the resource ANN; CFPI; forecasting; MAPE Description An account of the resource The price of food and food related items are dynamic. A measure change in the price affects the buying behaviour of the consumer and monetary policies by the Government. The Consumer Food Price Index (CFPI) reflects the variations in food prices during a certain period. In India, the CFPI is released monthly by the Central Statistical Organization. It also reflects the inflation and helps the Government to take corrective measures in time. In this paper we have applied the machine learning approach in forecasting the consumer food price index in India. In specific, this work has focused on the applicability of Artificial Neural Network (ANN) models with back propagation learning in predicting the future values of CFPI. The monthly data for rural, urban and combined from the period 2013 to 2021 have been used to train and validate the models. The Mean Absolute Percentage Error (MAPE) values have been used to validate the accuracy of the models. The experimental results show that a simple ANN model with back propagation algorithm is highly capable in forecasting the future values of CFPI. 2021 IEEE. Creator An entity primarily responsible for making the resource Sarangi P.K.; Sinha D.; Sinha S.; Mittal N. Source A related resource from which the described resource is derived 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRITO51393.2021.9596527" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO51393.2021.9596527</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125916788&amp;doi=10.1109%2FICRITO51393.2021.9596527&amp;partnerID=40&amp;md5=e134879a1b111bb09c0783bdfba33866" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125916788&amp;doi=10.1109%2fICRITO51393.2021.9596527&amp;partnerID=40&amp;md5=e134879a1b111bb09c0783bdfba33866</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541703-7 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 Conference paper 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, India; Sinha D., CHRIST (Deemed to be University), India; Sinha S., CHRIST (Deemed to be University), India; Mittal N., Amity University, Noida, Uttar Pradesh, India