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Name |
PredictAnn : Artificial Neural Network for Pattern Prediction. |
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Description |
This project enables prediction of Propensity to pay of the persons desiring to
buy house in a particular locality. It would take in partial profile data of a household
and based on that try to predict the following for a household matching that profile
:
- How much is the propensity to pay for a new house?
- Whether the household will opt for a loan or not?
- What will be the duration of loan that the household will opt for?
- What is the maximum installment that the household will opt for?
- What is the maximum loan that the household will opt for?
The program featured a the following forms to the user :
- Data entry form to collect the master data for the population of surveyed data
- Form to Configure the Neural Netork
- Form to Input data to Neural Network
- Control Center to start various other forms.
- Form to enter parameters of interest.
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Salient Features |
The application used Artificial Intelligence Inference engine for the purpose of
prediction. Backpropogation Method of the Artificial Neural Network methodology
was used for the purpose. |
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Deliverables |
- Source Code
- Executable
- Setup Program
- User Manuals
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Client |
Bhavesh Patel, Research Scholar,
Civil Engineering Department,
S.V.National Institute of Technology, Surat |
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Technology Used |
- C++ for the Backpropogati
- Visual Basic 6.0 for the Front End
- Data Reports for Reporting
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