Main Reference PaperTensor Decomposition Based Approach for Training Extreme Learning Machines, Big Data Research, 2017.[Python]
  • The tensor decomposition based Extreme Learning Machine is proposed to resolve the constraints of traditional Extreme Learning Machines (ELM) in a SPARK platform. It exploits PARAFAC and TUCKER decomposition techniques to mitigate the complexity of the system.

Description
  • The tensor decomposition based Extreme Learning Machine is proposed to resolve the constraints of traditional Extreme Learning Machines (ELM) in a SPARK platform. It exploits PARAFAC and TUCKER decomposition techniques to mitigate the complexity of the system.

  • To resolve the scalability issue

  • To accomplish minimal training time and greater accuracy

Aim & Objectives
  • To resolve the scalability issue

  • To accomplish minimal training time and greater accuracy

  • A technique is contributed to solving the data explosion issue

Contribution
  • A technique is contributed to solving the data explosion issue

  • Operating system: Ubuntu / Windows

  • Java/Python/R

Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • 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.

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