G.A. Anastassiou, Univariate error function based neural network approximation. Indian J. Math. (2014)G. A. Anastassiou, Univariate error function based neural network approximation, submitted, 2014.G.A. Anastassiou, Univariate error function based neural network approximation, Indian J. Math. ...
How Powerful are Graph Neural Networks-图神经网络能力 The structure and function of complex networks 神经网络课件-第3章-多层前馈神经网络 Cascade-Correlation Neural Networks A Survey:级联相关神经网络的调查 第3章:前馈神经网络 Wavelet Neural Networks - University of York:小波神经网络-约克大学 3前馈神经...
Lecture 1: Regression - Case Study machine learning 有三个步骤,step 1 是选择 a set of function, 即选择一个 model,step 2 是评价goodness of function,step 3 是选出 best function。 regression 的例子有道琼斯指数预测、自动驾驶中的方向盘角度预测,以及推荐系统中购买可能性的预测。课程中的例子是预测宝...
Hi all, There is an error while I used neural network toolbox. I wrote a script, but when I start running it I getting ThemeCopy Undefined function or variable 'network'. And this what I do ThemeCopy clear load('Metdata','METData') training_set=METData(1:5088,:);%specif...
Gradient method is often used for the feedforward neural network training. Most of the studies so far have been focused on the square error function. In this paper, a novel entropy error function is proposed for the feedforward neural network training. The week and strong convergence analysis ...
In order to improve the convergence speed of feed forward neural network, entropy square error function is defined and applied to the NL2SOL feed forward neural network. The effect of entropy square error function is proved theoretically. The comparative experiment results demonstrate that the feed ...
Error-Resilient Inference with an Error-Aware Activation Function in a Deep Neural Network 来自 IEEEXplore 喜欢 0 阅读量: 8 作者:JG Lee,D Kim 摘要: In this paper, we investigate impact of a bit-flip error on the accuracy of a deep neural network (DNN) model. Using MNIST as the ...
aWe apply a three-layer feedforward neural network as the training network. The error measure that we minimize during the training process is the least squares function: 我们应用三层数feedforward神经网络作为训练网络。 使减到最小我们在训练过程期间的错误措施是最小平方的作用:[translate]...
NEURAL NETWORK-BASED ERROR COMPENSATION METHOD, SY 专利名称：NEURAL NETWORK-BASED ERROR COMPENSATION METHOD, SYSTEM AND DEVICE FOR 3D PRINTING 发明人：Zhen SHEN,Gang XIONG,Yuqing LI,Hang GAO,Yi XIE,Meihua ZHAO,Chao GUO,Xiuqin SHANG,Xisong DONG,Zhengpeng WU,Li WAN,Feiyue WANG 申请号：US17...
Create and Train the Two-Layer Feedforward Network Use thefeedforwardnetfunction to create a two-layer feedforward network. The network has one hidden layer with 10 neurons and an output layer. Use thetrainfunction to train the feedforward network using the inputs. ...