CO激光微加工实验台定位精度预测模型研究 by 相恒富, 张立军, 傅建中

“…In order to increase CO2 laser micromachining table position accuracy,regression modeling and forecasting methods of the linear motor position error are put forward based on LSSVM.LSSVM has excellent learning and statistical functions.Predicting model is founded by kernel function.Learning machine is trained with learning sample used known data.Further error of the system is tested and predicted with testing sample.Position error prediction about various speeds and accelerations are put forward based on LSSVM introduction radial group kernel function,and error compensation is processed.Research results indicate that the use of radial basis function of the LSSVM can improve forecast accuracy,made the forecast better results.…”
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基于混合核函数支持向量机的齿轮诊断方法研究 by 谢凌然, 高长伟, 沈玉娣

“…Support Vector Machines（SVM） is a new machine learning method based on statistics learning theory which has good classification ability even if the training samples are very few.The technology of SVM is applied to gear fault diagnosis.Using of local,global kernel function for samples training classification,then selects their respective weight appropriately by using the previous classification results to construct mixed kernel function.Experiments and data analysis prove that the classification results using mixed kernel function are better than that using local or global kernel function alone.…”
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The Reliability of Diagnosing Schizophrenia Using the GRU Layer in Conjunction with EEG Rhythms by Pankaj Kumar Sahu, Karan Jain

“…In our investigation of RDCGRU deep learning architectures, we noticed that Con-1-D layers connected special learning networks function well with the α-EEG rhythm for the EEG rhythm-based verification of schizophrenia. …”
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Moral Values on Teachers’ Directive Speech Acts Through Arabic Teaching l al-Qiyam al Akhlaqiyyah fi al-Af’al al-Taujihiyyah Atsna’a Ta’lim Lughah al-Arabiyyah by Lailatul Qomariyah, Akhmad Sauqi Ahya', Faishol Mahmud Adam Ibrahim

“…This study draws on the internalization of character values through teacher directive acts in learning Arabic at Darus Salam and Al Munawaroh High School Jombang with four functions, they are; a) the function of asking, b) the function of ordering, c) the function of inviting, and d) the function of forbidding by internalizing character values, namely the value of curiosity, independent value, religious value, and responsibility value. …”
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Lyapunov theory demonstrating a fundamental limit on the speed of systems consolidation by Alireza Alemi, Emre R. F. Aksay, Mark S. Goldman

“…We use the theory of Lyapunov functions, which enforces stability by requiring learning rules to decrease an energy-like (Lyapunov) function. …”
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TEAMS GAMES TOURNAMENT SEBAGAI UPAYA PENINGKATAN KEMAMPUAN BELAJAR MAHASISWA PADA MATA KULIAH MATEMATIKA EKONOMI by - FACHRURROZIE, Indah Anisyukurillah

“…Result of this study was to apply Economics Mathematics through </em><em>Teams Games Tournament</em><em> model learning in Quadrat Function Topic with the sub topics were Demand Function, Supply Function, </em><em>Market Equilibrium, </em><em>Tax and Subsidy Influences to improve the students’ ability and skill in teaching learning process.  It was seen that score average from 11 teams from Cycle </em><em>I, II </em><em>a</em><em>n</em><em>d</em><em> III </em><em>was getting increased about </em><em>60,11%; 87% an</em><em>d</em><em> 96,88%. …”
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A 3D-printed Sanger sequencing activity addresses student misconceptions by Phillip E. Brown, Stefanie H. Chen

“…In order to improve student learning, we developed a hands-on Sanger sequencing activity using 3D-printed models to incorporate tactile learning. …”
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TFSNet: A Time–Frequency Synergy Network Based on EEG Signals for Autism Spectrum Disorder Classification by Lijuan Shi, Lintao Ma, Jian Zhao, Zhejun Kuang, Sifan Wang, Han Yang, Haiyan Wang, Qiulei Han, Lei Sun

“…Autism Spectrum Disorder (ASD) seriously affects social, communication, and behavioral functions, and early accurate diagnosis is crucial to improve the prognosis of patients. …”
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Fighting Zoom fatigue: Evidence-based approaches in university online education by Johannes M. Basch, Patrick Albus, Tina Seufert

“…However, the effects of focus-view function vs. grid-view function did not reach significance for either cognitive load or fatigue. …”
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Expectation-maximization alternating least squares for tensor network logistic regression by Naoya Yamauchi, Hidekata Hontani, Tatsuya Yokota, Tatsuya Yokota

“…When constructing a classification function for high-dimensional data using a basis function model, a huge number of basis functions and coefficients are generally required, but the TN model makes it possible to avoid the curse of dimensionality by representing the huge coefficients using TNs. …”
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Video Visualization Technology and Its Application in Health Statistics Teaching for College Students by Chengfei Li, Yuan Xie, Shuanbao Li

“…In view of the present situation of “learning difficulty” in health statistics, this paper proposes a video visualization technology based on the convolutional neural network, which updates parameters by calculating the gradient of loss function to obtain accurate or nearly accurate loss function. …”
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Penerapan Deep Convolutional Generative Adversarial Network Untuk Menciptakan Data Sintesis Perilaku Pengemudi Dalam Berkendara by Michael Stephen Lui, Fitra Abdurrachman Bachtiar, Novanto Yudistira

“…Penggunaan sensor visual memiliki performa yang lebih baik ketika menggunakan metode deep learning. Salah satu metode untuk meningkatkan performa metode deep learning adalah dengan menggunakan data sintesis hasil model generatif sebagai tambahan data. …”
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Relating sparse and predictive coding to divisive normalization. by Yanbo Lian, Anthony N Burkitt

“…However, how sparse/predictive coding (a learning model) is connected with divisive normalization (not a learning model) is still not well investigated. …”
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Electroacupuncture improves cognitive impairment in diabetic cognitive dysfunction rats by regulating the mitochondrial autophagy pathway by Xia Ge, Ling Wang, Qianqian Cui, Hongli Yan, Zhongbao Wang, Shandong Ye, Qingping Zhang, Aihua Fei

“…Rats were fed on high-fat and high-sugar diets. Learning and memory functions were assessed using behavioral tests. …”
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Large Language Model-Guided SARSA Algorithm for Dynamic Task Scheduling in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…State Action Reward Action (SARSA) learning, a policy variant of Q learning, which learns the value function based on the current policy action, has been utilized in task scheduling. …”
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Pendekatan Saintifik Menggunakan Software Graphmatica untuk Menumbuhkan Kemampuan Komunikasi Matematika by Widiawati Widiawati, Indah Widyaningrum

“…Therefore, building mathematical communication skills is very important in learning especially in learning through a scientific approach using graphmatica software. …”
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HA-CP-Net: A Cross-Domain Few-Shot SAR Oil Spill Detection Network Based on Hybrid Attention and Category Perception by Dongmei Song, Shuzhen Wang, Bin Wang, Weimin Chen, Lei Chen

“…Deep learning models have obvious advantages in detecting oil spills, but the training of deep learning models heavily depends on a large number of samples of high quality. …”
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Integration Method with Backpropagation by Nidhal AL-Assady, Jamal Majeed, Shahbaa Khaleel

“…In this research, a new method is discovered (combined method) to accelerate the backpropagation network by using the expected values of source units for updating weights, we mean the expected value of unit by the sum of the output of the unit and its error term multiplied by the factor Beta to accelerate the algorithm and also adjust the value of learning coefficient continuously if the value of energy function E decreases the learning rate is increased by a factor , if the value of the energy function E increases , the value of the learning rate is decreased by a factor . …”
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Neuronal cell type specific roles for Nprl2 in neurodevelopmental disorder-relevant behaviors by Brianne Dentel, Lidiette Angeles-Perez, Abigail Y. Flores, Katherine Lei, Chongyu Ren, Andrea Pineda Sanchez, Peter T. Tsai

“…To our knowledge, we are the first to describe the behavioral contributions of Nprl2's function across multiple cell types. Our findings highlight both critical roles for Nprl2 in learning and behavior and also distinct contributions of select neuronal populations to these NDD-relevant behaviors.…”
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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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