in this paper the fuzzy structural reliability index was determined through modeling epistemic uncertainty arising from ambiguity in statistical parameters of random variables. the first order reliability method (form) has been used and a robust genetic algorithm in the alpha level optimization method has been proposed for the determination of the fuzzy reliability index. the sensitivity level ...

histamine h3 receptor subtype has been the target of several recent drug development programs. quantitative structure-activity relationship (qsar) methods are used to predict the pharmaceutically relevant properties of drug candidates whenever it is applicable. the aim of this study was to compare the predictive powers of three different qsar techniques, namely, multiple linear regression (mlr)...

The paper contains description of a new clustering methodology that partitions data set into clusters, such that regression indetermination coefficient for data from each cluster is minimized. A clustering algorithm that realizes this methodology with genetic programming approaches, as well as, some experimental results are presented. The application of the algorithm for planning cellular telep...

background : the data related to patients often have very useful information that can help us to resolve a lot of problems and difficulties in different areas. this study was performed to present a model-based data mining to predict lung cancer in 2014. methods : in this exploratory and modeling study, information was collected by two methods: library and field methods. all gathered variables w...

This study, for its research subjects, uses patients who had undergone total knee replacement surgery from the database of the National Health Insurance Administration. Through the review of literatures and the interviews with physicians, important factors are selected after careful screening. Then using Cross Entropy Method, Genetic Algorithm Logistic Regression, and Particle Swarm Optimizatio...

because of high cost of drilling and analysis of samples, it needs to predict gold and silvers based on pathfinder such as as, sb, cd, pb and zn and decrease the cost and time exploration project implementation. in this paper, the model based on a multilayer perceptron artificial neural network (mlp-ann) optimized by invasive weed optimization algorithm (iwo) to predict of gold and silver in za...