نتایج جستجو برای: 1999 predicting gray wolf landscape recolonization logistic regression models vs new field data ecological application 9
تعداد نتایج: 6089076 فیلتر نتایج به سال:
Background & Objectives: In recent years, different decision support systems (DSS) have been used to predict and diagnose diseases. The purpose of this paper was to compare some DSSs and to evaluate their accuracy in predicting diabetes. Methods: In this research, determination and optimization of the weights of the neural network were undertaken using genetic algorithm and Levenberg-Marqua...
This paper reports the development of a new spatial simulation model of landscape dynamics – DINAMICA, which presents: 1) multi-scale vicinity-based transitional functions, 2) incorporation of spatial feedback approach to a stochastic multi-step simulation engineering, and 3) the application of logistic regression or weights of evidence to calculate the spatial dynamic transition probabilities....
one of the new techniques applied in the drying process of food stuffs that can increase the drying rate, enhanced the product quality, and while decresing the costs of processing is an application of infrared radiational energy. in this study the thin layer drying process of button mushroom was modeled through an infrared applied drying method. drying experiments with sliced samples of button ...
Given increasing access to large amounts of biodiversity information, a powerful capability is that of modeling ecological niches and predicting geographic distributions. Because, sampling species’ distributions is costly, we explored sample size needs for accurate modeling for three predictive modeling methods via re-sampling of data for well-sampled species, and developed curves of model impr...
Inference concerning the impact of habitat fragmentation on dispersal and gene flow is a key theme in landscape genetics. Recently, the ability of established approaches to identify reliably the differential effects of landscape structure (e.g. land-cover composition, remnant vegetation configuration and extent) on the mobility of organisms has been questioned. More explicit methods of predicti...
BACKGROUND Due to the importance of medical studies, researchers of this field should be familiar with various types of statistical analyses to select the most appropriate method based on the characteristics of their data sets. Classification and regression trees (CARTs) can be as complementary to regression models. We compared the performance of a logistic regression model and a CART in predic...
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