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A gauss-newton approach for nonlinear optimal control problem with model-reality differences
Published 2017“…Here, the linear model-based optimal control model is considered, so as the optimal control law is constructed. …”
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Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption
Published 2015“…The incremental back propagation algorithm demonstrated the best results and which has been used as learning algorithm for ANN in combination with Genetic Algorithm in the optimization. …”
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Grammarcheck: a dynamic LL (1) grammar checker using recursive descent parsing with chatbot assistance
Published 2025“…LL (1) grammar is crucial for parsing algorithms, but despite that, students often find it difficult to grasp, especially when it comes to applying the 12-step solution process. …”
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Vietnamese character recognition based on cnn model with reduced character classes
Published 2021“…This article will detail the steps to build and train the convolutional neural network (CNN) model for Vietnamese character recognition in educational books. …”
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Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN)
Published 2020“…The Fletcher-Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
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Modelling and simulation of hollow profile aluminium extruded product
Published 2015“…This process is an isothermal process with an extrusion ratio of 3.3. Subsequently, the optimized algorithm for these extrusion parameters was suggested based on the simulation results. …”
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Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann)
Published 2020“…The Fletcher–Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
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干扰学生的主要因素是什么?调查结果和创新解决方案 = What are the main factors that interfere with students? Survey results and innovative solutions
Published 2024“…Unfortunately, students may be more susceptible to the influence of mobile phones and the Internet. Recognizing that a problem exists is the first step in finding a solution. …”
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