نتایج جستجو برای: interval prediction neural networks

تعداد نتایج: 1045591  

Journal: :JOIV : International Journal on Informatics Visualization 2017

Journal: :Stochastic Environmental Research and Risk Assessment 2021

In an environment, one of the natural geological hazards is land surface subsidence. Underground mining and subsurface coal fires are primarily responsible for subsidence land. Activities, such as, over-exploitation coal, minerals, groundwater petroleum resources, depillaring existing galleries water logging relinquished major factors resulting in The deformation measured terms change ground el...

Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...

Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...

In this paper, experimental responses of the clamped mild steel, copper, and aluminium circular plates are presented subjected to blast loading. The GMDH-type neural networks (Group Method of Data Handling) are then used for the modelling of the mid-point deflection thickness ratio of the circular plates using those experimental results. The aim of such modelling is to show how the mid-point de...

Journal: :International Journal of Applied Information Systems 2012

Journal: :The Annals of Applied Statistics 2022

Family history is a major risk factor for many types of cancer. Mendelian prediction models translate family histories into cancer predictions, based on knowledge susceptibility genes. These are widely used in clinical practice to help identify high-risk individuals. leverage the entire history, but they rely assumptions about genes that either unrealistic or challenging validate, due low mutat...

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