Main Reference PaperEnterprise Credit Risk Evaluation Based on Neural Network Algorithm, Cognitive Systems Research, 2018 [Python]
  • The credit risk management based on the Probabilistic Neural Network (PNN) effectively mitigates the misclassification rate to accomplish the better prediction results. In addition, it attempts to resolve the financial issues of the enterprises.

Description
  • The credit risk management based on the Probabilistic Neural Network (PNN) effectively mitigates the misclassification rate to accomplish the better prediction results. In addition, it attempts to resolve the financial issues of the enterprises.

  • To reduce the error rate in credit risk management.

  • To improve the classification accuracy.

Aim & Objectives
  • To reduce the error rate in credit risk management.

  • To improve the classification accuracy.

  • The dynamic evaluation of credit risk management under the multiple fields and facts yields better accuracy

Contribution
  • The dynamic evaluation of credit risk management under the multiple fields and facts yields better accuracy

  • 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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