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Real estate appraisal using predictive modeling

Patent 5361201 Issued on November 1, 1994. Estimated Expiration Date: Icon_subject October 19, 2012. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Enhanced neural network shell for application programs Patent #: 5235673
Issued on: 08/10/1993
Inventor: Austvold, et al.

Inventors

Assignee

Application

No. 963908 filed on 10/19/1992

US Classes:

705/35, Finance (e.g., banking, investment or credit)706/17Approximation

Examiners

Primary: McElheny, Donald Jr.

Attorney, Agent or Firm

International Classes

G06F 015/18
G06F 015/40

Abstract

An automated real estate appraisal system (100) and method generates estimates of real estate value using a predictive model such as a neural network (908). The predictive model (908) generates these estimates based on learned relationships among variables describing individual property characteristics (905) as well as general neighborhood characteristics at various levels of geographic specificity (906). The system (100) may also output reason codes indicating relative contributions (1009) of various variables to a particular result, and may generate reports (701) describing property valuations, market trend analyses, property conformity information, and recommendations regarding loans based on risk related to a property.

Other References

  • Borst, Richard A., "Artificial Neural Networks: The Next Modeling/Calibration Technology for the Assessment Community?", Property Tax Journal, vol. 10 n 1, Mar. 1991, pp. 69-94
  • Carlson, E., "Self-Organizing Features Maps for Appraisal of Land Value of Shore Parcels", Conference: Artificial Neural Networks, vol. 2 Jun. 1991, pp. 1309-1312
  • Jackson, Howard F. Jr., "Artificial Int. Appl. for the Real Estate and Financial Industries", Real Estate Finance Journal, vol. v3n3, Winter 1988; pp. 83-84
  • Cannaday, R. E., et al., "Weighting Schemes for Adjustment Grid Methods of Appraisal", Appraisal Review Journal
  • Bruce, R. W. and Sundell, D. J., "Multiple Regression Analysis: History and Applications in the Appraisal Professionp", The Real Estate Appraiser
  • Andrews, R. L. and Ferguson, J. T., "Integrating Judgment with a Regression Appraisal", The Real Estate Appraiser and Analyst, Spring 1986
  • Gain, K. J. "Appraising by Probability Analysis", The Appraisal Journal, Jan. 1990
  • O'Toole, J., "Appraisal Procedures and Real Estate Lending", The Appraisal Journal, Jan. 1989
  • Weirick, W. N. and Ingram. F. J., "Functional Form Choice in Applied Real Estate Analysis", The Appraisal Journal, Jan. 1990
  • Cronan, et al., "Production System Development for Expert Systems Using a Recursive Partitioning Induction Approach: An Application to Mortgage, Commercial, and Consumer Lending", Decision Sciences, vol. 22 (1991)
  • Collins, et al., "An Application of a Multiple Neural Network Learning System to Emulation of Mortgage Underwriting Judgements"
  • Carlson, E, "Self-Organizing Feature Maps for Appraisal of Land Value of Shore Parcels", Artificial Neural Networks, 199
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