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Journal of Mathematics, Volume 2021, Issue 1, 2021., 2021 Fractional order research has interdisciplinary characteristics and has been widely used in the field of natural sciences. Therefore, fractional order research has become an important area of concern for scholars. This paper used 2854 literatures collected from China National Knowledge Infrastructure (CNKI) database from 2001 to 2020 as the data source
Yunfei Yang +4 more
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Zhongshan Daxue xuebao. Yixue kexue ban, 2023 目的将人诱导多能干细胞源性神经前体细胞（hiPSC-NPCs）种植于去细胞视神经（ DON）上，在体外构建一种具有突触传递功能的类神经网络组织，为神经组织损伤的修复提供一种有效途径。方法通过定向诱导和组织工程技术，联合应用hiPSCs和3D DON支架，构建一种新的类神经网络组织。定向诱导人诱导多能干细胞（hiPSCs）向人神经前体细胞（ hNPCs）及神经元方向分化，使用免疫荧光染色鉴定细胞分化效率。制备3D DON支架，借助扫描电镜、Tunnel染色，鉴定支架形貌及细胞相容性。将诱导的hiPSC ...
苏琪淞 +7 more
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Zhejiang Daxue xuebao. Lixue ban, 2003 可持续发展系统是"黑箱",至少是"灰箱",各因素间是否存在因果关系还不十分清楚,人工神经网络可以较为逼真地模拟该系统.本文以人工神经网络BP模型为工具,借助Matlab语言对区域可持续发展经济子系统指标进行预测研究.通过数据采集、网络结构模型设计、程序设计、网络训练等绘出指标预测图并进行分析,最后提出建议.结果表明,用人工神经网络来模拟可持续发展经济子系统是可行的.
YEZheng-bo(叶正波)
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Food and Energy Security, Volume 15, Issue 2, March/April 2026.ABSTRACT Net photosynthetic rate (Pn) serves as a key indicator for evaluating plant growth and yield. In order to explore an effective method for monitoring winter rapeseed Pn using unmanned aerial vehicle (UAV) multispectral technology, the winter rapeseed was taken as the research object and the multispectral images were obtained through UAVs in ...
ChengYang Ni +7 more
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Rare Metals, Volume 45, Issue 2, February 2026.ABSTRACT The high accuracy in surface‐enhanced Raman scattering‐lateral flow immunoassays (SERS–LFIAs) is critical for reliable point‐of‐care testing (POCT) in clinical diagnostics. Conventional approaches are often affected by sampling variability and uneven distribution of immunoprobes, leading to unreliable signal fluctuations.
Shuai Zhao +9 more
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High Performance Catalyst Design by Artificial Intelligence for Acetylene Hydrochlorination
Rare Metals, Volume 45, Issue 1, January 2026.ABSTRACT The rapid development of artificial intelligence (AI) has brought transformative contributions to society, revolutionizing various fields through its advanced computational capabilities and data‐driven approaches. In the field of materials science, AI has become a powerful tool that significantly accelerates the discovery of new materials by ...
Yuan Zhou +12 more
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Deep quantile regression for growth and maturation reaction norms
Methods in Ecology and Evolution, Volume 17, Issue 1, Page 111-124, January 2026.Abstract Understanding species' growth and maturation responses to anthropogenic and environmental pressures is crucial for tracking demographic shifts, phenotypic change and ensuring population sustainability. Traditional regression methods often focus on modelling the conditional mean of life‐history traits, potentially overlooking heterogeneity in ...
Guankui Liu +4 more
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Gaoya dianqi, 2021 针对变电站巡检机器人在传统运动规划方法下存在的难以规划出平滑路径、不确定环境下动作不可测等问题,提出研究不确定条件下的变电站巡检机器人运动规划问题的深度强化学习方法。文中分析了深度学习中奖励值模型II、探索策略和神经网络结构对整个运动规划的影响,设计了不同结构的神经网络,并开展了相关的对比实验。结果表明,在当前任务场景下,相同的运算量神经网络结构C2比神经网络结构C1和神经网络结构C3的计算时间要短。因此,在计算资源短缺时,建议采用神经网络结构C2,更有利于对变电站巡检机器人进行精准的运动规划 ...
董诗绘, 牛彩雯, 戴琨
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World Medical &Health Policy, Volume 17, Issue 4, Page 745-766, December 2025.ABSTRACT This paper aimed to describe and analyze the factors that shaped the political priority of global neurosurgery from 2015 to 2022. The neurosurgery community formed a movement (that can be described as a global health network) to advocate for the neurosurgical patient to ensure safe, timely, and affordable neurosurgical care for all, and ...
Martina Gonzalez Gomez +3 more
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Gaoya dianqi, 2011 小波网络是近年来神经网络研究中的一个新分支,是结合小波变换理论与神经网络的思想构造的一种新的神经网络模型。笔者构造的前馈小波神经网络是将小波分析与BP神经网络融合,以Gauss小波及其伸缩平移系作为隐含层小波基函数并且对小波神经网络做了一些改进。选择了300组油中溶解气体含量作为前馈小波神经网络训练及故障识别的样本,并对仿真结果进行分析。实验结果显示:文中构造的小波神经网络适合变压器故障诊断,其性能优于改良IEC法,传统BP神经网络法和基于主成分分析法的BP神经网络 ...
方健, 彭辉, 李自品, 舒乃秋
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