Integrating Neural Networks with Time Series Forecasting: Improving Sales
Shailendra Singh Kathait, Dr Aankita Kaur, Shubhrita Tiwari, Anubha Varshney
This paper presents a comparison between different algorithms that are used for time series forecasting on a noisy time series data. The accuracy of forecasting is first evaluated using traditional methods like Moving Average, ARIMA modeling etc. and then Machine Learning based approach with ANN (Artificial Neural Networks) is used for forecasting. ANN algorithms have found to deliver superior & robust predictions.