Results 21 to 30 of about 8,006 (161)
Journal of Analytical Psychology, Volume 65, Issue 1, Page 88-115, February 2020., 2020 Abstract The various ways schools of psychotherapy relate to dreams have been marked by isolationism and mutual conflict rather than self‐examination and then integrating the discoveries and methods of other schools. Jung’s method was in opposition to Freud’s psychoanalysis. Existential psychology was dismissive of Freud’s and Jung’s discoveries, while
Ole Vedfelt
wiley +1 more source
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
wiley +1 more source
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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probability neural network based on particle swarm optimization algorithm [PDF]
, 2016 标签分布学习是近几年发展起来的解决多标签分类问题的方法。该方法基于这样的假设：属于不同标签的实例可能会存在部分的共同特征，因此在学习过程中，每个实例都可以对不同的标签做出贡献，这极大地降低了学习的难度。条件概率神经网络作为解决这个模型的算法，在进行分类时具有独特的优势，然而如何对其进行有效的训练，从而找到最优参数却是一个困难的问题。 本文对条件概率神经网络的优化进行了研究，在考虑标签分布的性质和条件概率神经网络的结构特点之后，从三个方面改进了条件概率神经网络，并将改进的条件概率神经网络应用于年龄估计问题，
徐骏捷
core
Conservation Biology, Volume 39, Issue 2, April 2025.Abstract Emerging infectious diseases are increasingly recognized as a significant threat to global biodiversity conservation. Elucidating the relationship between pathogens and the host microbiome could lead to novel approaches for mitigating disease impacts.
Alexander S. Romer +25 more
wiley +1 more source
Applying deep learning to right whale photo identification
Conservation Biology, Volume 33, Issue 3, Page 676-684, June 2019., 2019 Abstract Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time‐consuming. Motivated by recent developments in image recognition, we hosted a data science challenge on the crowdsourcing platform Kaggle to automate the ...
Robert Bogucki +5 more
wiley +1 more source
Uncovering Xi Jinping's Policy Agenda: Text As Data Approach
The Developing Economies, Volume 63, Issue 1, Page 9-46, March 2025.How many agendas has Xi Jinping put forth and promoted since taking office in 2012, and what are the types of agendas? How much of political attention has each agenda received, and how has the allocation of attention changed over time? We utilize a dataset of presidential statements, speeches, and reports from 2012 to 2022 and employed automated text ...
Jaehwan Lim, Asei Ito, Hongyong Zhang
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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
doaj
He jishu对于反应堆热工水力参数的预测，现有的研究多使用单一神经网络的预测方法，但在噪声较大的情况下，单一神经网络不能很好地剔除噪声的影响。本文使用基于经验模态分解法（Empirical Mode Decomposition，EMD）与奇异谱分析法（Singular Spectrum Analysis，SSA）结合自适应径向基神经网络（Radial Basis Function Neural Network，RBF）的组合模型提高堆芯热工参数瞬态预测的精度。采用1/2中国实验快堆（China ...
赵 梓炎 +4 more
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