Project title

Comprehensive Evaluation of Multivariate Chaotic Time series using Neural Networks

Submitted to:

  • Dr Tanveer Ahmed

Submitted By:

  1. Ishaan Hemrajani
  2. Aman Kumar
  3. Harshit Gupta

Project Description

Multivariate chaotic time series prediction, a popular research topic which is concerned with many disciplines (weather forecasting and predicting stocks), where the end goal is to predict the future of the time series based on past observations. Various neural networks has been proposed to forecast future values in time series data but existing methods are not comprehensively evaluated.

Project Poster

Poster_1
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