Patent ID: 7580848
Filing Date: 2009-08-25
Classification: G06Q

Abstract:
1. A computer-implemented network model method, comprising: receiving first input data into an initial network model to develop an initial model configuration; receiving an initial input data set from said initial model configuration and a second input data as inputs into a second model stage to develop and output an improvement to the initial input data set by evolving a plurality of network models using a plurality of genetic algorithms that exchange a plurality of data between successive generations of two or more independent subpopulations, said second input data comprising one of said first input data, data not included in said first input data, and a combination thereof; receiving said second model stage output as an input into third, induction stage in order to refine and summarize the data selection in the second stage model output and output a refined input data set, and receiving said induction stage output as an input into a fourth model stage to develop and output a final network model by training a network model using the refined input data set where all input data represents a physical object or substance, and where said final network model supports a regression analysis.