Observational Learning
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
Associative Learning
Signal Flow Graphs
Block Diagram Reduction
Cognitive Learning
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Jingyi Liu1, Weijun Li1, Lina Yu1
1Institute of Semiconductors, Chinese Academy of Sciences, 100083, Beijing, China; Center of Materials Science and Optoelectronics Engineering & School of Integrated Circuits, University of Chinese Academy of Sciences, 100049, Beijing, China; Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology, 100083, Beijing, China.
符号回归 (SR) 方法现在可以通过修复错误的新框架 (SNR) 进行改进. 这种方法通过使用符号网络 (SymNet) 和纠正机制来提高未见数据的准确性.
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