Main Reference PaperTraffic Flow Prediction With Big Data: A Deep Learning Approach, 2015.[Python]
  • The proposed traffic flow forecasting system based on the deep learning technique exploits the stacked autoencoder to learn the features of traffic flow. Furthermore, it is focusing on the spatio-temporal correlations to forecast the traffic flow.

Description
  • The proposed traffic flow forecasting system based on the deep learning technique exploits the stacked autoencoder to learn the features of traffic flow. Furthermore, it is focusing on the spatio-temporal correlations to forecast the traffic flow.

  • To forecast the traffic flow based on the deep learning model

  • To achieve superior performance

Aim & Objectives
  • To forecast the traffic flow based on the deep learning model

  • To achieve superior performance

  • The modification of predictive layer in the stacked autoencoder yields the improved performance.

Contribution
  • The modification of predictive layer in the stacked autoencoder yields the improved performance.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit