Developmental Medicine &Child Neurology, Volume 61, Issue 3, Page E1-E35, March 2019., 2019 目的 本国际临床指南由欧洲残疾儿童学会（the European Academy of Childhood Disability，EACD）牵头制定，旨在解决发育性协调障碍（developmental coordination disorder，DCD）的定义、诊断、评估、干预以及与社会心理方面的临床应用关键问题。 方法 本指南针对五个领域的关键问题，通过文献综述和专家团队的正式讨论达成共识。为保证指南的循证基础，以“机制”、“评估”和“干预”为检索词, 对2012年更新以来提出的最新建议以及新增的“社会心理问题”和“青少年/成人”为检索词进行检索。根据牛津大学循证医学中心证据等级 (证据水平 [level of evidence, LOE]1–4) 将结果进行分类，最终转化为指南建议。并由国际 ...
Jing Hua +6 more
wiley +1 more source
Optimization Technology of Longshan Millet γ-amino Butyric Acid Enrichment Process by Neural Network Algorithm [PDF]
, 2022 In order to promote the quality and efficiency improvement of Longshan millet industry and enhance the added value of products, this study took Longshan millet as the main raw material to learn the effects of soaking time, germination temperature and ...
GAO Ling +3 more
core +1 more source
Application Study of the Stock Data Assistant Analysis Algorithm [PDF]
, 2015 股票市场受政治、经济和投资者心理等多种复杂因素的影响。虽然复杂，但经过分析简化仍能在海量数据中得到相应的信息。数据挖掘技术就是能够实现从海量数据中挖掘有用信息的新兴技术，其广泛应用于投资领域。本文以技术分析和基本分析两种股票分析方法为基础，针对股票分析和预测应用数据挖掘中的神经网络和关联规则建立相应的模型，并进行了实证分析和比较。论文主要工作包括以下两个方面： 1.针对BP神经网络算法在股市预测中存在的学习速度慢、容易陷入局部极小值、预测结果精度不高等问题，提出一种基于共轭梯度的BP神经网络算法 ...
魏朝东
core
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
wiley +1 more source
Computer vision model for the detection of canine pododermatitis and neoplasia of the paw
Veterinary Dermatology, Volume 35, Issue 2, Page 138-147, April 2024.Background – Artificial intelligence (AI) has been used successfully in human dermatology. AI utilises convolutional neural networks (CNN) to accomplish tasks such as image classification, object detection and segmentation, facilitating early diagnosis.
Andrew Smith +7 more
wiley +1 more source
Improved BP neural network combined with semi-supervised algorithm and its application on text classification [PDF]
, 2017 随着大数据时代的来临，挖掘数据潜在的价值成为了各领域学者、工作者致力于研究的课题之一。文本数据承载着大量的信息，垃圾文本分类作为文本挖掘中经典的课题之一，虽然已经有了长足的发展，但提升垃圾文本分类器的精度一直都是人们追求的目标。BP神经网络模型是一种非常有效的非线性模型，它通过模拟生物神经网络，可以较好的拟合线性不可分的数据，是进行分类问题的常用模型之一。现今，文本数据呈爆炸式增长，呈现数据量大、高纬度、“有标签”数据少“未标签”数据多等特点，传统的BP神经网络已不能很好地解决这些问题。本篇论文中 ...
陈欣
core
Research on Energy Saving of Air-condition Control System [PDF]
, 2006 以自适应预测算法和BP人工神经网络算法为基础,对中央空调控制系统的控制算法作出改进,以提高节能效率。并在Atmel9200芯片上加以实现和优化。实验结果表明 ...
倪子伟, 林凡, 陈国武
core
Direction convergence analysis of weighted rule for minor component extraction information criteria [PDF]
, 2020 The extraction of parallel minor components algorithm in directional convergence in signal feature extraction was studied.By comparing the unweighted projection approximation subspace tracking (PAST) algorithm with the weighted PAST parallel minor ...
Boyang DU, Xiangyu KONG, Xiaowei FENG
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Research on 3D Head Model Reconstruction Based on Single Front Face Image [PDF]
, 2013 自从上世纪70年代Parke建立第一个三维人脸模型以来，三维人脸重建就成为了计算机图形学领域中的研究重点，并取得了一定的突破和进展。目前该技术也已被广泛应用于影视动漫、医学图形、人脸识别等领域。而如果有一种手段使得通过后脑勺的照片就可以预测人脸正面特征，这样公安人员侦破违法犯罪的成功率就会大大增加，然而首先研究清楚人脸正面特征与后脑勺之间的关系是实现前者必要的基础和前提条件。目前学者们集中于基于正面图像的三维人脸建模，没有对后脑勺的建模进行详细的研究 ...
宋桔
core
Positioning technique of coded aperture radiation imaging [PDF]
With the widespread application of nuclear technology and radiation protection, the demand for radioactive sources imaging is increasing. As a high-precision imaging and positioning device for radioactive sources, the coded aperture imaging positioning ...
ANG Wensheng +4 more
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