搜索资源列表
ELM327-to-uC-Scheme
- This a OrCad PCB Schematic to a very simple ELM327 to uC board.Tested and ok. The board can suply 5V to any plataform from the cars suply. It uses 10 pin cable containing: +5V, GND, ELM RX, ELM TX, ELM BUSY and ELM RTS signals.-This is a OrCad PCB Sc
v2
- PCB LAYOUT FOR ELM CHAN HIGH VOLTAGE PARALLEL PROGRAMMER
TFT240320-demo
- TFT LCD code demo HARDWARE AVR mega8,16,32 BL-TFT240320PLUS. An interface can be 8/16 bit mode. TFT LCD arduino shield. SD card File APPLICATION main.c main program. scan SD card and display BMP file on lcd. readm
I-ELM
- Universal Approximation Using Incremental Constructive Feedforward Networks With Random Hidden Nodes
ELM-and-SRC
- A hybrid approach combining extreme learning machine and sparse representation for image classification
神经网络极速学习方法研究
- 单隐藏层前馈神经网络(Single-hidden Layer Feedforward Neural Network, SLFN)已经在模式识别、自动控制及数据挖掘等领域取得了广泛的应用，但传统学习方法的速度远远不能满足实际的需要，成为制约其发展的主要瓶颈。产生这种情况的两个主要原因是：（1）传统的误差反向传播方法(back propagation，BP)主要基于梯度下降的思想，需要多次迭代；（2）网络的所有参数都需要在训练过程中迭代确定。因此算法的计算量和搜索空间很大。针对以上问题，借鉴ELM的
ELM
- ELM算法参考论文， ELM算法参考论文，ELM算法参考论文-ELM algorithm reference papersELM algorithm reference papersELM algorithm reference papersELM algorithm reference papersELM algorithm reference papers
phd-elm
- 一篇博士论文-关于极限学习机及其在分类问题中的应用。极限学习机是近年来出现的一种批处理学习的神经网络，值得研究-a phd thesis on the applicaiton in classification problems of ELM, which is a newly developed learning machine
phd-elm2
- 一篇博士论文-关于极限学习机及其在系统辨识和建模方面中的应用。极限学习机是近年来出现的一种批处理学习的神经网络，值得研究-a phd thesis on the applicaiton in system identification of ELM, which is a newly developed learning machine
ELM
- 极限学习机的训练函数,在新建的函数中运行，-ELM training function to run in the new function
ELM-Chinese-Brief
- 深度学习，超限学习机的中文简介，通过此文可以大概知道超限学习机的工作原理-Deep learning, learning machine overrun Chinese Introduction by this article can probably know works overrun learning machine
Medical-image-segmentation-
- 出了基于 ELM的医学图像的分割技术，结合滤波去噪、形态学提取和边缘检测等图像处理方法，设计了一种应用于CT图像 的轮廓描绘方法。-Based on a medical image segmentation ELM technology, combined with filtering de-noising, Morphology and edge detection image processing method is applied to design a CT image cont
ELM--of-image-segmentation
- 以极限学习机的图 像分割算法为基础， 在确定了最优参数的基础上， 建立了基于ELM的图像分割算法， 并且通过仿真实验对算法的正确性和 有效性进行了验证， 指出这种算法能够更加快速地完成对图像的分割， 并且图像分割孤立点少， 边缘明显， 同时该算法大 大地缩短了样本的训练时间。-In image segmentation algorithm based on machine learning limit, in determining the optimum parameters ba
ELM-in-tumor-classification
- 提出了一种基于数据集分割的极限学习机集成算法——DS-E-ELM.-Extreme Learning Machine proposed integration algorithm DS-E-ELM dataset based segmentation.
Enhancement-for-OS-ELM
- 在线序列极限学习机OS-ELM算法的基本原理及其改进算法- In this paper, we propose a Constructive Enhancement for OS-ELM (CEOS-ELM), which can add random hidden nodes one-by-one or group-by-group with fixed or varying group size.
ELM.m
- matlab code of extreme learning machine Guangbin Huang -matlab code of extreme learning machine Guangbin Huang
ELM-(1)
- 极限学习机的源代码,主要是描述用于回归分析的极限学习，可以快速的实现大数据的预测-Extreme learning machine source code, mainly described for the regression analysis of the limit learning, you can quickly achieve large data prediction
ELM Classico
- NARX + ELM - laser quantum dots prediction