Neural Network-Based Optimization of Vlsi Wafer Fabrication基于神经网络的集成电路生产过程建模与优化神经网络芯片制造工序能力指数提高成品率In this paper, we present a neural based manufacturing process control system to improve the lot yield of wafer fab. The process is as follows: 1. A model based...
Neural Network-Based Optimization of Vlsi Wafer Fabrication In this paper, we present a neural-based manufacturing process control system to improve the lot yield of wafer lab. The process is as follows: 1. A model ... XD Wang,YM Chen,SJ Wang,... - 中国科学院半导体研究所 被引量: 1...
Pointer Network中采用"glimpse"集合输入序列的特征(类似attention),本文认为收益不明显没有使用。对于第二个问题强化学习训练不需要计算出真正的解,通过reward进行训练。模型的结构如下所示。 本文采用e model-free policy-based Reinforcement Learning来优化PN模型参数,目标函数如下所示,表示策略为 πθ 时的期望路径...
Neural Network - Optimization and Regularization https://www.youtube.com/playlist?list=PLXVfgk9fNX2IQOYPmqjqWsNUFl2kpk1U2 Machine Learning Techniques (機器學習技法)
Artificial neural network(ANN) is a mathematical model that imitates the behavior of ANN and performs distributed parallel information processing. The network relies on the complexity of the system,adjusting the connection between a large number of nodes to achieve the purpose of processing information...
这篇论文引入的网络叫做Phase-Functioned Neural Network(PFNN),它的构建过程是在每帧去生成回归网络的参数,这个回归网络就叫做phase function,这里的phase代表了动画循环的一个时机(time)。一旦生成完毕,我们就能用一帧的控制变量来获得对应的pose。 这个方法相对于RNN模型,可以实时使用,适应不同地表环境下的不同用户输...
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling(翻译) 基于注意的递归神经网络模型用于联合意图检测和槽填充 摘要 提出基于注意力的神经网络模型用于构建意图识别和槽填充的联合模型 1. 简介 意图识别:意图识别可以看做语义表达的分类问题,流行的方法如支持向量机和深度神经...
Proposal-based method DeepText 金连文 DeepText(此方法不是Google的DeepText哦),对fasterRCNN进行改进用在文字检测上,先用Inception-RPN提取候选的单词区域,再利用一个text-detection网络过滤候选区域中的噪声区域,最后对重叠的box进行投票和非极大值抑制 Deep Matching Prior Network 金连文教授发表在 CVPR2017 上的工作...
论文翻译:2019_Deep Neural Network Based Regression Approach for A coustic Echo Cancellation 5 结论和未来的工作 论文地址:https://dl.acm.org/doi/abs/10.1145/3330393.3330399 基于深度神经网络的回声消除回归方法 回到顶部 摘要 声学回声消除器(AEC)的目的是消除近端传声器接收到的混合信号中的声学回声。传统的...
An optimization problem seeks to minimize a loss function. The form of loss function is chosen based on the nature of the problem and mathematical needs. The following are the different loss functions for different scenarios: Binary classification: cross entropy function. ...