Most of the developed immune based classifiers generate antibodies randomly, which has negative effect on the classification performance. In order to guide the antibody generation effectively, a decision hyper plane h...Most of the developed immune based classifiers generate antibodies randomly, which has negative effect on the classification performance. In order to guide the antibody generation effectively, a decision hyper plane heuristic based artificial immune network classification algorithm （DHPA1NC） is proposed. DHPAINC taboos the inner regions of the class domain, thus, the antibody generation is limited near the class domain boundary. Then, the antibodies are evaluated by their recognition abilities, and the antibodies of low recognition abilities are removed to avoid over-fitting. Finally, the high quality antibodies tend to be stable in the immune network. The algorithm was applied to two simulated datasets classification, and the results show that the decision hyper planes determined by the antibodies fit the class domain boundaries well. Moreover, the algorithm was applied to UCI datasets classification and emotional speech recognition, and the results show that the algorithm has good performance, which means that DHPAINC is a promising classifier.展开更多
The aryl moiety which was bonded as a functional group on the primary alcohol side ofβ-CD or the secondary alcohol side of β-CD or the secondary alcohol side of β-CD with anethylenediamino chain could show remarkab...The aryl moiety which was bonded as a functional group on the primary alcohol side ofβ-CD or the secondary alcohol side of β-CD or the secondary alcohol side of β-CD with anethylenediamino chain could show remarkable different molecular recognition abilities in thecomplexation with small molecular vips such as alkanes, cycloketones etc.展开更多
Architectural CAD is the core course of Engineering Cost Specialty in higher vocational colleges.If students can gradually develop the ability of architectural drawing recognition and drawing when learning this course...Architectural CAD is the core course of Engineering Cost Specialty in higher vocational colleges.If students can gradually develop the ability of architectural drawing recognition and drawing when learning this course,they can lay a foundation for better work after graduation.This paper expounds the nature of Architectural CAD and the significance of cultivating architectural drawing recognition ability of students based on Architectural CAD course,and analyze the strategy of cultivating architectural drawing recognition ability of students based on Architectural CAD course.展开更多
A new algorithm based on a Supervised Self-Organizing neural network for the pas sive sonar target recognition was proposed. Because of the incompleteness of the passive sonar exemplar set, the algorithm introduced a ...A new algorithm based on a Supervised Self-Organizing neural network for the pas sive sonar target recognition was proposed. Because of the incompleteness of the passive sonar exemplar set, the algorithm introduced a Multi-Activation-function structure and Supervised Self-Organizing competitive learning algorithm into the classic feed-forward neural networks,and obviously improved the generalization ability in target recognition. Besides, it can effi ciently reduce the learning time and avoid the local optimum. The recognition experiments of realistic passive sonar signals show that this new algorithm has good generalization ability and high recognition rate展开更多
Chirality is a universal characteristic of life and the material world,with irreplaceable value in drug development and green synthesis[1].At present,enantioselective transformations primarily rely on two methods,whic...Chirality is a universal characteristic of life and the material world,with irreplaceable value in drug development and green synthesis[1].At present,enantioselective transformations primarily rely on two methods,which are asymmetric synthesis using chiral catalysts or reagents and kinetic resolution depending on enantiomer recognition ability.展开更多
基金Foundation item： Projects（61170199, 60874070） supported by the National Natural Science Foundation of China Project（11A004） supported by the Major Project of Education Department in Hunan Province, China Project（2010GK3067） supported by Science and Technology Planning of Hunan Province, China
文摘Most of the developed immune based classifiers generate antibodies randomly, which has negative effect on the classification performance. In order to guide the antibody generation effectively, a decision hyper plane heuristic based artificial immune network classification algorithm （DHPA1NC） is proposed. DHPAINC taboos the inner regions of the class domain, thus, the antibody generation is limited near the class domain boundary. Then, the antibodies are evaluated by their recognition abilities, and the antibodies of low recognition abilities are removed to avoid over-fitting. Finally, the high quality antibodies tend to be stable in the immune network. The algorithm was applied to two simulated datasets classification, and the results show that the decision hyper planes determined by the antibodies fit the class domain boundaries well. Moreover, the algorithm was applied to UCI datasets classification and emotional speech recognition, and the results show that the algorithm has good performance, which means that DHPAINC is a promising classifier.
文摘The aryl moiety which was bonded as a functional group on the primary alcohol side ofβ-CD or the secondary alcohol side of β-CD or the secondary alcohol side of β-CD with anethylenediamino chain could show remarkable different molecular recognition abilities in thecomplexation with small molecular vips such as alkanes, cycloketones etc.
文摘Architectural CAD is the core course of Engineering Cost Specialty in higher vocational colleges.If students can gradually develop the ability of architectural drawing recognition and drawing when learning this course,they can lay a foundation for better work after graduation.This paper expounds the nature of Architectural CAD and the significance of cultivating architectural drawing recognition ability of students based on Architectural CAD course,and analyze the strategy of cultivating architectural drawing recognition ability of students based on Architectural CAD course.
文摘A new algorithm based on a Supervised Self-Organizing neural network for the pas sive sonar target recognition was proposed. Because of the incompleteness of the passive sonar exemplar set, the algorithm introduced a Multi-Activation-function structure and Supervised Self-Organizing competitive learning algorithm into the classic feed-forward neural networks,and obviously improved the generalization ability in target recognition. Besides, it can effi ciently reduce the learning time and avoid the local optimum. The recognition experiments of realistic passive sonar signals show that this new algorithm has good generalization ability and high recognition rate
基金supported by the National Natural Science Foundation of China(22271227 and 22471205)Guangdong Basic and Applied Basic Research Foundation(2024A1515011322)+2 种基金the China Postdoctoral Science Foundation(2024M752457)the Postdoctoral Fellowship Program(Grade B)of China Postdoctoral Science Foundation(GZB20240566)Wuhan University and Hubei University for their support of this research.
文摘Chirality is a universal characteristic of life and the material world,with irreplaceable value in drug development and green synthesis[1].At present,enantioselective transformations primarily rely on two methods,which are asymmetric synthesis using chiral catalysts or reagents and kinetic resolution depending on enantiomer recognition ability.
