1.1 Deep learning and neural networks before 2009–11 For many years, the majority of computer scientists believed that the field of artificial intelligence would never live up to its initial promise, or have a major impact on technology or the economy. There were periodic efforts to abolish res...
The original signal and NF data for the continuous spectrum are complex-valued functions. Therefore, two networks with the same architecture are to be used for the whole transformation; each identical part is responsible for the computation of either the real or imaginary parts of the resulting ar...
The parameter determines the computing form in the networks while the architecture of DNNs is the significant factor of program structure. Illustrating from five points: computing complexity, pruning, quantization, computing parallelism and data reuse, we refer to the latest works of other developers,...
International Conference on Artificial Neural Networks - ICANN 1991 Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor. Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal in...
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Chedid, N.et al.Synthesis of fracture radiographs with deep neural networks.Health Inf. Sci. Syst.8, 21 (2020). ArticleGoogle Scholar Selvaraju, R. R.et al.Grad-cam: visual explanations from deep networks via gradient-based localization. InProceedings of the IEEE International Conference on Co...
While decoding can be slow with a naive implementation of neural networks, we employed strategies described in [16] with which decoding in x86 CPU architectures can be done in real time. 虽然用神经网络的朴素实现解码会很慢,但我们采用了 [16] 中描述的策略,在x86 CPU架构上可以实时完成解码。
Modern neural networks usually serve as nonlinear statistical data modeling tools, and have been widely used to solve various problems. For example, the multilayer feedforward neural network (MFNN) is very good for solving nonlinear optimization problems of multiple input parameters, which has been ...
Biomarkers are indispensable for precision medicine. However, focused single-biomarker development using human tissue has been complicated by sample spatial heterogeneity. To address this challenge, we tested a representation of primary tumor that synerg
期刊评价 您选择的ieee transactions on neural networks的指数解析如下: 简介:IEEE T NEURAL NETWOR杂志属于工程技术行业,“工程:电子与电气”子行业的顶级杂志。投稿难度评价:虽然影响因子不是很高,但是也是行业的知名杂志,要求很高,投稿不太容易 审稿速度:一般,3-8周级别/热度:黑红评语:不是一流水平,这类杂志不要...