Semi-supervised concept learning by concept-cognitive learning and concept space
In human concept learning, people can naturally combine a handful of labeled data with
abundant unlabeled data when they make classification decisions, which is also known as …
abundant unlabeled data when they make classification decisions, which is also known as …
Intelligent Problem Solving Model and its Cross Research Directions Based on Factor Space and Extenics
X Li, J Zeng, H Liu, P Wang - Annals of Data Science, 2022 - Springer
Artificial intelligence technology has made important progress in machine learning and
problem-solving with relatively determined boundary conditions. However, the more …
problem-solving with relatively determined boundary conditions. However, the more …
[HTML][HTML] 重新找回人工智能的可解释性
何华灿 - 智能系统学报, 2019 - html.rhhz.net
针对深度神经网络AI 研究的可解释性瓶颈, 指出刚性逻辑(数理形式逻辑) 和二值神经元等价,
二值神经网络可转换成逻辑表达式, 有强可解释性. 深度神经网络一味增加中间层数来拟合大 …
二值神经网络可转换成逻辑表达式, 有强可解释性. 深度神经网络一味增加中间层数来拟合大 …
[HTML][HTML] 因素空间与可拓学的互补性分析及问题处理融合模型
李兴森, 许立波, 刘海涛, 汪培庄 - 智能系统学报, 2022 - html.rhhz.net
问题智能处理是人工智能领域具有挑战性和交叉性的课题. 大数据与人工智能技术背景下,
为了给具有较高普遍性的开放性问题求解提供新的理论支撑, 对因素空间与可拓学做了对比分析 …
为了给具有较高普遍性的开放性问题求解提供新的理论支撑, 对因素空间与可拓学做了对比分析 …
Remote vocal singing course design based on embedded system and internet of things
PJ Yu, MZ Xiong - Mobile information systems, 2022 - Wiley Online Library
Distance learning, a new style of teaching, can create a strong sensation of presence
through real and vivid communication. It is set to reach a communication effect of deep …
through real and vivid communication. It is set to reach a communication effect of deep …
[HTML][HTML] 因素表示的信息空间与广义概率逻辑
汪培庄, 周红军, 何华灿, 钟义信 - 智能系统学报, 2019 - html.rhhz.net
汪培庄, 周红军, 何华灿, 等. 因素表示的信息空间与广义概率逻辑[J]. 智能系统学报, 2019, 14
(5): 843-852. DOI: 10.11992/tis. 201810021.WANG Peizhuang, ZHOU Hongjun, HE Huacan …
(5): 843-852. DOI: 10.11992/tis. 201810021.WANG Peizhuang, ZHOU Hongjun, HE Huacan …
Variable-weighted ensemble forecasting of short-term power load based on factor space theory
Y Gu, D Ma, J Cui, Z Li, Y Chen - Annals of Data Science, 2022 - Springer
The power load forecasting plays an important role in the economical and safe operation of
the modern power system. However, the characteristics of power load such as non …
the modern power system. However, the characteristics of power load such as non …
Research on uncertainty of system function state from factors-data-cognition
T Cui, P Wang, S Li - Annals of Data Science, 2022 - Springer
In the process of system operation, the ability to complete the predetermined function is
changing, which is uncertain for the system designer. In order to study the uncertainty of …
changing, which is uncertain for the system designer. In order to study the uncertainty of …
[HTML][HTML] 基于意识–情感–智能三位一体的煤矿供液过程控制
付翔, 王然风 - 智能系统学报, 2018 - html.rhhz.net
为保障煤矿工作面液压支架安全高效运行, 提高供液系统智能化水平, 通过分析供液系统多层
智能控制目标, 借鉴高等人工智能原理中的意识–情感–智能三位一体思想 …
智能控制目标, 借鉴高等人工智能原理中的意识–情感–智能三位一体思想 …
[HTML][HTML] 基于因素空间的人工智能样本选择策略
崔铁军, 李莎莎 - 智能系统学报, 2021 - html.rhhz.net
为解决人工智能中莫拉维克悖论提出的问题, 基于因素空间思想提出一种人工智能样本选择策略
. 首先通过因素空间论证了莫拉维克悖论的证确定. 其次论述了人的选择过程即是比较过程的 …
. 首先通过因素空间论证了莫拉维克悖论的证确定. 其次论述了人的选择过程即是比较过程的 …