Neural networks were used to estimate the cost of jet engine components, specifically shafts and cases. The neural network process was compared with results produced by the current conventional cost estimation software and linear regression methods. Due to the complex nature of the parts and the limited amount of information available, data expansion techniques such as doubling-data and data-cr...

this paper describes a study of operational parameters by using the multivariate data analysis and neural networks for a municipal waste incinerator located in majorca (spain). the basis of the study also includes the chemometric techniques: linear multivariate regression to develop a model with certain predictive capabilities; linear principal component analysis, which allow the number of vari...

achieving the millennium development goals has proven to be a real challenge. providing evidence on cost-effective interventions did not prove to be sufficient to secure the trust of national authorities, health care providers and patients. introducing change in a health system requires a good understanding of the relationships between the actors of the system. social network analysis can provi...

extended abstractintroduction:natural disasters management requires local information in order to be ready against dangers and reduce their procedure. hence, evaluation of landslide occurrence in the area which is prone to landslide due to geographical condition and human constructions is high crucial. ghale chai dam located at ajabshir watershed is one kind of such areas. so the aim of present...

Purpose: Organizational network analysis is usually a long and complex process, consisting of many steps generally using analytical tools. Design/Methodology/Approach: Numerous papers have been written about the itself, especially measures, concepts, visualizations used in research. This unfortunately not case for data collection process. Findings: The practice conducting research shows that ef...