ESN

Adaptive Identification of Nonlinear System Based on ESN

回声状态网络的非线性系统自适应辨识

Ridge regression learning in ESN for chaotic time series prediction

ESN岭回归学习算法及混沌时间序列预测

ESN static prediction model for BOF end-point based on PCA

基于主元分析的转炉终点ESN静态预测模型

Finally , according to the reconstructed time series properties we can match the appropriate parameter ESN model training and prediction .

最后根据重构后的时间序列特性匹配合适参数ESN模型进行训练及预测。

There Exist Problems During the Operation of Eco-industrial Symbiosis Network ( ESN ) and the Research on Flexibility

生态工业共生网络运作中存在的问题及其柔性化研究

However , the closed loop with feedback introduced in the ESN may lead to the loss of asymptotic stability .

然而，ESN方法中存在输出反馈形成的闭合环路，可能导致ESN丧失渐进稳定性。

This is congressman albert 's home address and his cellular esn .

艾议员的住址和手机频率。

An extra stage network ( ESN ) is composed of a unique path network and an additional stage of switches .

额外级网（ESN）是在唯一路径网的前面增加一级开关所成的网络。

As a new type of recurrent neural network , echo state network ( ESN ) is applied to nonlinear system identification and chaotic time series prediction .

ESN（回声状态网络）是一种新型的递归神经网络，可有效处理非线性系统辨识以及混沌时间序列预测问题。

It was also found that the anti-spermatozoa positive serum and the serum from vasoligated man showed no positive reaction to ESN either .

抗精子抗体阳性血清及输精管结扎后血清亦均不能使ESN呈阳性反应。

In this paper , the traditional echo state network ( ESN ) through the structure and learning mechanism of the study , on the echo state network prediction method of chaotic time series .

本文主要通过对传统回声状态网络（ESN）的结构和学习机理的研究，探讨了回声状态网络对混沌时间序列的预测方法。

Finally , we focus on the structure and echo state network , and put forward that small-world network can be used to replace the randomly generated reservoir network in ESN .

最后，本文提出采用小世界网络，代替传统回声状态网络中随机生成的储备池网络，得到小世界回声状态网络模型。

Focusing on the problem that ESN ( Echo State Network ) is sensitive to outliers , this paper proposes a Robust ridge regression method by using Huber loss function .

针对回声状态网络（EchoStateNetwork，ESN）模型易受异常点影响的问题，本文提出一种基于Huber损失函数的鲁棒岭回归方法。

It selects ESN with the mechanism of the " reservoir " as predict model to set up a direct predict method which directly relates the prediction origin and prediction horizon .

通过选取具有储备池机制的回声状态网络ESN作为网络预测模型，建立一种直接预测方法，直接构建预测原点和预测时域之间的定量关系。

Microscopic appearance showed that endometrial stromal nodule ( ESN ) is histologically identical to low grade endometrial stromal sarcoma ( LGESS ) .

肿瘤的镜下特点：子宫内膜间质结节（ESN）和低度恶性子宫内膜间质肉瘤（LGESS）组织学表现相似。

Experimental results show that , no matter from prediction accuracy but also from the training speed , the classical ESN , and the proposed ESN are better than the traditional recurrent neural networks .

实验结果表明，无论从预测精度上还是从训练速度上，回声状态网络以及新型回声状态网络均优于传统的递归神经网络。

Conclusion CD4 + T lymphocytes of Chinese ESNs may possess relative resistance to M tropic HIV strains , which may be one of the main influencing factors that result in ESN .

结论中国ESN的CD4+T淋巴细胞对M嗜性病毒分离株有一定抵抗作用，可能是经性接触暴露未感者抗HIV感染的主要影响因素。

Base on the discussion , the basic concept and four values of STI are given , and the action relationship between STI and economy - society - nature ( ESN ) system are deeply formulated .

在此基础上，本文给出STI的概念和四重价值实现，并探讨STI与经济、社会和自然复合系统（ESN）的互动关系及其推动ESN可持续发展的作用。

But because of the complexity of its own path and operational mode , there are many problems , which become the bottleneck of ESN . How to promote its flexibility is the premise of ESN .

但是由于它自身形成路径和运作模式的复杂性，在运作过程中存在诸多问题和风险，成为制约其发展的瓶颈，如何提高其柔性化是生态工业正常运转的前提。

Moreover , based on Laplace distribution , this paper proposes a robust ESN as well . By introducing Laplace distribution , which is robust to outliers , as the likelihood function of model output , the robustness of the prediction model can be enhanced .

此外，本文还提出一种基于拉普拉斯先验分布的鲁棒回声状态网络模型。通过引入对异常点不敏感的拉普拉斯分布作为模型输出的先验，预测模型的鲁棒性得以提高。