K. Kasper et al., "A fully recurrent neural network for recognition of noisy telephone speech," in Proc. the IEEE conference on Acoustics, Speech and Signal, 1995, vol. 5, pp. 3331-3334.A Fully Recurrent Neural Network for Recognition of Noisy Telephone Speech - Kasper, Reininger, et al...
ESA with parameter-varying sliding mode and ESA based on annealing recurrent neural network et al is researched in detail. 回顾了极值搜索算法的发展历程,分析了单变量和多变量极值搜索算法、滑模极值搜索算法、斜率搜索算法等算法的优缺点,着重描述了变参数滑模极值搜索算法和退火回归神经网络极值搜索算法等,并...
Recurrent fully convolutional neural networks for multi-slice MRI cardiac segmentation. Lecture Notes in Computer Science (includ- ing subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10129 LNCS:83-94, 2017.R. P. K. Poudel, P. Lamata, and G. Montana, "...
network uses the logistic squashing function we use f 0 s t y t y t k k k k in equation RealTime Recurrent Learning The ab ove algorithm was derived on the assumption that the weights remained xed throughout the tra jectory In order to allow realtime training of b ehaviors of in...
1 Introduction A major problem in connectionist theory is to develop learning algorithms that can tap the full computational power of neural networks. Much progress has been made with feedforward networks, and attention has recently turned to developing algorithms for networks with recurrent connections...
关键词: Aerodynamics; Uncertainty; Attitude control; Mathematical model; Convergence; Artificial neural networks; Real-time systems; Adaptive control; Fully connected recurrent neural network (FCRNN); Quadrotor; Sliding mode control (SMC); Trajectory tracking; ...
This canonical representation is suitable for processing by a custom fully convolutional network for precise character prediction. This character prediction embraces a large symbol set with no lexicon constraints. Our method provides an alternate approach to the popular strategy of using recurrent neural ...
FusionNet:A deep fully residual convolutional neural network for image segmentation in connectomics,程序员大本营,技术文章内容聚合第一站。
Besides, we also integrate the recurrent convolutional layers (RCLs) into our model, which provide more deepness and enhance the capability to integrate more contextual knowledge. At last, we combine all the side-outputs into a final saliency map together for salient object detection. We evaluate ...
Liang, M., Hu, X.: Recurrent convolutional neural network for object recognition. In: Computer Vision and Pattern Recognition, pp. 3367–3375 (2015) Liang-Chieh, C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.: Semantic image segmentation with deep convolutional nets and fully...