نتایج جستجو برای: ga and ann had better accuracy than multivariate regression
تعداد نتایج: 16951785 فیلتر نتایج به سال:
a large number of single research studies on the effects of strategy-based instruction (sbi) in teaching english as a foreign or second language has been conducted so far. however, the lack of a comprehensive meta-analysis targeting the effectiveness of english language sbi is observed. moreover, the findings of experimental studies regarding the context of the english language, proficiency lev...
Introduction: Logistic regression is one of the modeling methods for bipartite dependent variables. On the other hand, artificial neural network is a flexible method with the least limitation. The importance of growing unnecessary beauty surgeries and the importance of prediction and classification made us consider the present study, with the aim of comparing logistic regression and artificial ...
BACKGROUND In patients with advanced renal dysfunction undergoing maintenance hemodialysis, glycated albumin (GA) levels may be more representative of blood glucose levels than hemoglobin A1C levels. The aim of this study was to determine the predictive power of GA levels on long-term survival in hemodialysis patients. METHODS A total of 176 patients with a mean age of 68.2 years were enrolle...
Background : Diabetes and hypertension are from important non-communicable diseases in the world and their prevalence are very important for health authorities. The objective of this study was to compare the predictive precision of joint logistic regression (LR) and artificial neutral network (ANN) in concurrent diagnosis of diabetes and hypertension. Methods : This cross-sectional study wa...
Prediction of the accurate amount of solid waste is difficult work because several parameters affect it. There is a high degree of fluctuation in the prediction of amount of solid waste generation. Therefore, applying neural network as intelligent system can be a good option. In a tourist area such as Langkawi Island, protection of the area and pollution control are important issues; also it is...
purpose: to determine the incidence of retinopathy of prematurity (rop) and to evaluate the possible neonatal risk factors for rop among premature infants referred to farabi eye hospital during 2000-2002. methods: newborn infants with gestational age (ga) £ 37 wk or birth weight (bw) £ 2500 g were included. the first eye examination was performed 4-9 weeks after birth. data on possible risk fac...
BACKGROUND In order to better assist medical professionals, this study aimed to develop and compare the performance of three models-a multivariate logistic regression (LR) model, an artificial neural network (ANN) model, and a decision tree (DT) model-to predict the prognosis of patients with advanced schistosomiasis residing in the Hubei province. METHODOLOGY/PRINCIPAL FINDINGS Schistosomias...
In this study, a multivariate analysis combined with near-infrared (NIR) spectroscopy was employed to classify intact grape berries based on the rootstock x cover crops combination. NIR spectra were collected in diffuse reflection mode using TANGO FT-NIR spectrometer (Bruker, Germany) 8 cm−1 resolution and 64 scans wave number range of 4000–10,000 cm−1. The chemometric analyses performed statis...
a one dimensional dynamic model for a riser reactor in a fluidized bed catalytic cracking unit (fccu) for gasoil feed has been developed in two distinct conditions, one for industrial fccu and another for fccu using various frequencies of microwave energy spaced at the height of the riser reactor (fccu-mw). in addition, in order to increase the accuracy of component and bulk diffusion, instanta...
Solar radiation is an important climate parameter which can affect hydrological and meteorological processes. This parameter is a key element in development of solar energy application studies. The purpose of this study is the assessment of artificial intelligence techniques in prediction of solar radiation (Rs) using artificial neural network (ANN) and adaptive neuro-fuzzy inference system (AN...
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