نتایج جستجو برای: the models validation was carried out using mean absolute error mae
تعداد نتایج: 16779492 فیلتر نتایج به سال:
Prediction and validation of Compound factors for prioritization watersheds are an essential application using machine learning (ML) techniques in water resource engineering. The current paper proposes a methodology to derive 14 morphometric 3 topo-hydrological parameters remote sensing (RS) geographical information systems (GIS). factor (CF) values calculated weighted sum analysis (WSA), Relie...
ABSTRACT Estimation of mineral resources and reserves with low values of error is essential in mineral exploration. The aim of this study is to estimate and model a vein type deposit using disjunctive kriging method. Disjunctive Kriging (DK) as an appropriate nonlinear estimation method has been used for estimation of Cu values. For estimation of Cu values and modelling of the distributio...
Alpha-galactosidase production in submerged fermentation by Acinetobacter sp. was optimized using feed forward neural networks and genetic algorithm (FFNN-GA). Six different parameters, pH, temperature, agitation speed, carbon source (raffinose), nitrogen source (tryptone), and K2HPO4, were chosen and used to construct 6-10-1 topology of feed forward neural network to study interactions between...
abstract the present study was conducted to investigate the effectiveness of a rather newly developed method in language teaching that is the use of paragraph reading task and whole reading task and their effects on improving efl learner’s speaking ability. to fulfill the purpose of the study, first 90 participants studying their course at sa eedi high school in tehran were chosen by means of ...
Background and Objective: Knowledge about the quantity of municipal solid waste (MSW) generation plays a key role in formulating policies of waste management. So far, different methods have been applied to estimate the quantity of waste generation. In this study, eight specific forms of mathematical functions were evaluated to predict waste generation by the regression analysis method based on ...
Background: The recent progress and achievements in the advanced, accurate, and rigorously evaluated algorithms has revolutionized different aspects of the predictive microbiology including bacterial growth.Objectives: In this study, attempts were made to develop a more accurate hybrid algorithm for predicting the bacterial growth curve which can also be ...
abstract this study investigates the teachers’ correction of students’ spoken errors of linguistic forms in efl classes, aiming at (a) examining the relationship between the learners’ proficiency level and the provision of corrective feedback types, (b) exploring the extent to which teachers’ use of different corrective feedback types is related to the immediate types of context in which err...
Making predictions about the future based on past datasets is one of most important issues in analytical finance. Recently developed deep learning approaches and machine models have increased interest this field. One these approaches, time series, trying to predict changes a certain frequency. In study, LSTM (Long Short-Term Memory) Fbprophet (Facebook Prophet) methods were used estimate data B...
this study investigated the impact of explicit instruction of morphemic analysis and synthesis on the vocabulary development of the students. the participants were 90 junior high school students divided into two experimental groups and one control group. morphological awareness techniques (analysis/synthesis) and conventional techniques were used to teach vocabulary in the experimental groups a...
One of the main causes having low crop efficiency in Peru is poor management water resources; which why objective this article to estimate amount irrigation required quinoa crops through a comparison between machine learning and AquaCrop models. For development study, meteorological data from province Jauja descriptive were processed simulation period was established June December 2020. From ca...
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