Extreme Learning Machine(ELM)的工程哲学 工程问题往往需要的是一定精度范围内的结果,而不是“真正的”结果。得到问题解的一般方式是迭代求解,而ELM的求解方式是利用随机数和大数定律求解,这种方法论在20世纪40年代蒙特卡洛求积分(用于曼哈顿计划)、80年代的模拟退火(求解复杂优化问题)、90年代的Turbo码(首次使信道编码...
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In network structure of H-ELM, the original input is decomposed into multiple hidden layers. The output of the previous layer is regarded as the input of the current one. The learning of hidden layer represents more abstract information. By doing so, the hidden information can be exploited for...
Results:In this paper, a machine learning-based model called LDACE was proposed to predict potential lncRNA-disease associations by combining Extreme Learning Machine (ELM) and Convolutional Neural Network (CNN). Specifically, the representation vectors are constructed by integrating multiple types of ...
Idein(GitHub) -Actcastis an IoT platform service which links events and data in the physical world to the Web with deep learning inference on the edge devices. Simple IoT- Building blocks for custom IoT systems. IT Vendr- Vendr is a SaaS management platform, providing visibility into an org...
ANNs use learning algorithms that can be turned on their own (Basheer and Hajmeer 2000). ANN is a multilayer, fully connected neural network. An ANN consists of an input layer, some hidden layers, and an output layer. All nodes in one layer are connected to all other nodes in the next...
eSpark Learning (Blog, Github) - We help teachers in public schools provide fun, differentiated, and measurably effective lessons for their K-8 students. eSpark is proud to use and support Elm. Many of the organizers of the Elm in the Spring conference are part of the eSpark team, headqu...
learning method (ELM) was examined under the drip (tape) irrigation. A dataset including 125 wheat yield data, irrigation and meteorological data of Mahabad plain located southeast of Lake Urmia, Iran, was used as input parameters for crop year 2020–2021. Eighty percentage of the data were ...