DEVELOPMENT OF THE OPTIMUM IMMUNE NET MODELS FOR FORECASTING OF THE COMPLEX INVESTMENT PROJECT RISKS

Author(s): Samigulina Galina Akhmetovna, Samigulina Zarina Ildusovna

Rubric: Information technology

Release: 2014-1 (4)

Pages: 194-199

Keywords: intellectual systems, forecasting of the risks, artificial immune systems, complex investment projects, method of principal components

Annotation: Work is devoted a problem of construction optimum immune net model for complex investment projects for the purpose of the risks forecasting and possibility of timely updating in the course of its realizations. The perspective approach of artificial immune systems (AIS), based on concept formal peptide and procedure of a molecular recognize is used. Advantages of ap-plication AIS at the intellectual analysis of the data is possibility of parallel processing of a considerable quantity of the experts opinions, forecasting of risks and timely control of the course of the complex projects performance. At realizations immune net technologies the pro-cedure of optimum model construction on the basis of selection of the most informative attributes has great value. For the decision of this problem it is used the method of principal components.

Bibliography: Samigulina GA.AK., Samigulina ZA.IL. DEVELOPMENT OF THE OPTIMUM IMMUNE NET MODELS FOR FORECASTING OF THE COMPLEX INVESTMENT PROJECT RISKS // Education Resources and Technologies. – 2014. – № 1 (4). – С. 194-199. doi: