LEARNING FUNCTIONAL GRAMMAR IN ESP CLASS by Dian Arsitades Wiranegara

“…Learning functional grammar for ESP class is aimed to improve students of non-English language department to understand how English works effectively, appropriately, and accurately. …”
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Comparison of executive functions of attention, observational learning functions and working memory by Arezoo Shahpiri, Hora Alirahmzadeh, Maryam Reyhani, Zeinab Amiri Moghadam

“…Objective: Hence, the objective of this study was to compare executive functions of attention, observational learning functions and working memory in professional athletes and ordinary people. …”
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Options for Strengthening the Ensemble of Hypotheses under Uncertainty of the Objective Learning Function Formation by A. F. Chernyavsky, A. I. Kazlova

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Detecting Urban Mobility Structure and Learning Functional Distribution with Multi-Scale Features by Jia Li, Chuanwei Lu, Haiyan Liu, Jing Li, Dewei Zhou, Qingyun Liu

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Dexmedetomidine Improves Learning Functions in Male Rats Modeling Cognitive Impairment by Modulating the BDNF/TrkB/CREB Signaling Pathway by Sinan Saral, Tolga Mercantepe, Atilla Topçu, Ali Koray Kaya, Aykut Öztürk

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Comparative Analysis of Gradient Descent Learning Algorithms in Artificial Neural Networks for Forecasting Indonesian Rice Prices by Rica Ramadana, Agus Perdana Windarto, Dedi Suhendro

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LOW-CYCLE FATIGUE RELIABILITY ANALYSIS OF ENGINE PISTONS BASED ON PC-KRIGING MODEL by LI Wei, LI Liansheng, DU Zunfeng, FAN Tao

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Research on Intelligent Function Design of Vocational Education System under Mobile Learning Mode by Li Qing

“…The system is designed through the registration and login function module, course learning function module, examination and evaluation function module, communication and interaction function module, mobile learning function module, and personalized recommendation function module. …”
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Reliability Analysis of Structures by Iterative Improved Ensemble of Surrogate Method by Bolin Liu, Liyang Xie

“…Because the learning function utilizes the uncertainty estimator of the surrogate to guide the design of experiments (DoE), to accurately calculate the uncertainty estimator of the ensemble of surrogates, the concept of weighted mean square error is proposed. …”
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Research on Anti-Trojan Malware Mechanism Based on Characteristic Behavior by Weifu Zou, Yiying Zhang, Suxiang Zhang, Chengyue Yang

“…The mechanism triggered by sensitive behaviors, and had the active prevention function and self-learning function. The analysis and experiment show the solution can detect Trojan malware effectively.…”
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Research on Anti-Trojan Malware Mechanism Based on Characteristic Behavior by Weifu Zou, Yiying Zhang, Suxiang Zhang, Chengyue Yang

“…The mechanism triggered by sensitive behaviors, and had the active prevention function and self-learning function. The analysis and experiment show the solution can detect Trojan malware effectively.…”
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Design and implementation of an ERP platform as practice environment for learning in Operations Management by Juan Manuel Maqueira Marín, José Moyano Fuentes, Sebastián Bruque Cámara, Pedro Nuñez-Cacho Utrilla

“…However, the implementation of commercial solutions is not adequate due to its high cost and to exceed the conceptual learning function, which is the main objective of this software tool with the students of Operations Management. …”
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Design and Implementation of DPI-Based User's Bebavior Perception System in LTE Network by Jian Wang, Zhizhong Zhang, Yunlong Luo

“…Based on telecom operators increasingly urgent demand for intelligent pipeline, a kind of implementing scheme of user behavior perception system with self-learning function was proposed, which analyzed the protocols of user plane on S1 interface in long term evolution（LTE）network. …”
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STRUCTURAL RELIABILITY ANALYSIS METHOD BASED ON COLLABORATION-MEAN POINT CONSTRAINED ACTIVE LEARNING SURROGATE MODEL

“…The reliability of mechanical structures is crucial for their safe operation,to address the problem of low accuracy and low efficiency in reliability analysis of complex mechanical structures,a new active learning surrogate model based reliability analysis method was proposed.The spatial location characteristics of excellent fitting samples were studied and three constraints,such as surface constraint,distance constraint,and domain constraint,were proposed accordingly.Correspondingly,three control functions were established to achieve the three constraints.Then,three control functions were organically collaborated,and an effective new learning function,collaboration-mean point constrained learning(CPCL)function was proposed.Combined with the augmented radial basis function(ARBF),a collaboration-mean point constrained active learning surrogate model(ARBF+CPCL)reliability analysis method was established.Finally,three cases were employed to verify the high computational accuracy and computational efficiency of ARBF+CPCL reliability analysis method,and the application ability of ARBF+CPCL method in practical engineering cases was proved through the reliability analysis example of the turbine disk.…”
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Robot Fault Detection Based on Big Data by Fei Luo

“…The fault features are extracted according to the time-delay distribution sequence of the electrical fault data of the robot, and the electrical fault detection and diagnosis results are output by using the deep learning function. Simulation results show that the author's method has a high accuracy probability for robot electrical fault diagnosis. …”
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Emotional Semantic Recognition of Visual Scene in Flash Animation by Shi Lin, Xu Zhenguo, Meng Xiangzeng

“…Finally, we use BP neural network with appropriate transfer function and learning function for training to obtain the rules for mapping from visual features of the visual scene to semantic space and, at last, complete the automatic classification work of emotional semantic of the visual scene. …”
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Analysis of Comprehensive Artificial Neural Network Computer Media Aided Construction of Economic Forecasting Model by Tianfeng Li

“…ANN is an abstract model of the human brain neuronal network based on the information-processing perspective and composed of different networks to achieve a specific representation of logical strategies. ANN’s self-learning function, associative storage function, and the ability to find optimal solutions at high speed have led to its in-depth application and research in an increasing number of fields. …”
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Mapping changes of grassland to arable land using automatic machine learning of stacked ensembles and H2O library by Jiří Šandera, Přemysl Štych

“…The aim of this study was to evaluate the potential of H2O library and within implemented Automachine learning function (AutoML) and its stacked ensembles for mapping changes from grasslands to arable lands. …”
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ANALYSIS OF MEDICAL SERVICE CONTROL PROCESS IN THE SCOPE OF COMPULSORY HEALTH INSURANCE PROGRAM by M. A. Taranik, G. D. Kopanitsa

“…In respect that human factor influence on the main stages of the analyzed process, we propose to use fuzzy logic as an inference engine. The self-learning function of the system will provide case-based reasoning.…”
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Enhancing Power Quality in Grid-Integrated Hybrid Renewable Energy System using ANFIS-FBSO by Singh Manpreet, Singh Lakhwinder

“…The FBSO algorithm optimises the learning function of the ANFIS for optimal outcomes. The proposed technique is implemented to validate its performance under various conditions, including voltage sag, current sag, real power, reactive power and total harmonic distortions (THDs). …”
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