نتایج جستجو برای: was better than svm model
تعداد نتایج: 6251935 فیلتر نتایج به سال:
Evaluating and Developing Parameter Optimization and Uncertainty Analysis Methods for a Computationally Intensive Distributed Hydrological Model. (August 2008) Xuesong Zhang, B.S, Qingdao University, China; M.S., Beijing Normal University, China Chair of Advisory Committee: Dr. Raghavan Srinivasan This study focuses on developing and evaluating efficient and effective parameter calibration and ...
abstract lexical knowledge of complex english words is an important part of language skills and crucial for fluent language use (nation, 2001). the present study, thus, was an attempt to assess the role of morphological decomposition awareness as a vocabulary learning strategy on learners’ productive and receptive recall and recognition of complex english words. so 90 sophomores (female and ma...
An excavation damage zone (EDZ) can be defined as a rock zone where the rock properties and conditions have been changed due to the processes related to an excavation. This zone affects the behavior of rock mass surrounding the construction that reduces the stability and safety factor and increase probability of failure of the structure. This paper presents an approach to build a model for the ...
In this paper, we presented the performance of forecasting model and error correction will affect the accuracy of short-term load forecasting. Least squares support vector machines (LS-SVM) based on improved particle swarm optimization is selected as load forecasting model. Forecasting accuracy and generalization performance of LS-SVM depend on selection of its parameters greatly. Adaptive part...
the primary goal of the current project was to examine the effect of three different treatments, namely, models with explicit instruction, models with implicit instruction, and models alone on differences between the three groups of subjects in the use of the elements of argument structures in terms of toulmins (2003) model (i.e., claim, data, counterargument claim, counterargument data, rebutt...
the present research was an attempt to see how quranic lexical collocations were translated into english by two professional translators namely, abdullah yusuf(2005), and muhammad s. shakir(2012). the study attempted qualitatively to shed light on how translators dealt with quranic lexical collocations when transferring them to the target language based on the newmark(1988) model , and quantit...
Near-infrared spectroscopy combined with partial least squares regression (PLSR) and support vector machine (SVM) was applied for the rapid determination of chemical component of volatile oil content in Mentha haplocalyx. The effects of data pre-processing methods on the accuracy of the PLSR calibration models were investigated. The performance of the final model was evaluated according to the ...
Machine learning and pattern recognition are the most popular artificial intelligence techniques to model systems, those can learn from data. These techniques efficiently help in Classification, Regression, Clustering and Anomaly detection etc. k-Nearest Neighbors, Parzen Windows and Support Vector Machine (SVM) are some of the widely used Machine Learning classification techniques. This projec...
a novel ultra wideband microstrip bandpass filter using radial stub loaded resonator and interdigital coupled lines is presented in this paper. the radial stub loaded resonator and decagonal patch form a resonator named m to create tuneable multiple notches in the passband for suppression wlan interference. to realize sharp roll-off, two adjustable transmission nulls are located at the lower an...
landsat data for 1992, 2000, and 2013 land use changes for ekbatan dam watershed was simulated through ca-markov” model. two classification methods were initially used, viz. the maximum likelihood (mal) and support vector machine (svm). although both methods showed high overall accuracy and kappa coefficient, visually mal failed in separating land uses, particularly built up and dry lands.there...
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