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
The study investigates: (1) how different idiom types, classified on the basis of a cross-linguistic comparison of Chinese and English idioms in terms of conceptual basis, affect English idiom comprehension as reveale...The study investigates: (1) how different idiom types, classified on the basis of a cross-linguistic comparison of Chinese and English idioms in terms of conceptual basis, affect English idiom comprehension as revealed from both the general performance and the on-line processing strategies adopted by Chinese EFL learners at different proficiency levels, and (2) to what extent can the observed learner behavior be accounted for within the theoretical framework of idiom comprehension. The study has provided empirical evidence for the configuration hypothesis of idiom comprehension.展开更多
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
文摘The study investigates: (1) how different idiom types, classified on the basis of a cross-linguistic comparison of Chinese and English idioms in terms of conceptual basis, affect English idiom comprehension as revealed from both the general performance and the on-line processing strategies adopted by Chinese EFL learners at different proficiency levels, and (2) to what extent can the observed learner behavior be accounted for within the theoretical framework of idiom comprehension. The study has provided empirical evidence for the configuration hypothesis of idiom comprehension.
