logo资料库

ELM 学习资料（详细）.pdf

发布时间：2022-06-09 发布人：admin 分类：说明书 资料大小：0.65M 资料格式：pdf 举报 版权申诉
第1页 / 共55页
第2页 / 共55页
第3页 / 共55页
第4页 / 共55页
第5页 / 共55页
第6页 / 共55页
第7页 / 共55页
第8页 / 共55页
资料共55页，剩余部分请下载后查看
    Outline
    Main Talk
    Neural Networks
    Single-Hidden Layer Feedforward Networks (SLFNs)
    Conventional Learning Algorithms of SLFNs
    Extreme Learning Machine
    Unified Learning Platform
    ELM Algorithm
    ELM for Multi-Categories Classification Problems
    Performance Evaluations
    Summary
    Outline Extreme Learning Machine for Multi- Categories Classification Applications Hai-Jun Rong1,2, Guang-Bin Huang1 and Yew-Soon Ong2 1School of Electrical and Electronic Engineering 2School of Computer Engineering Nanyang Technological University Nanyang Avenue, Singapore 639798 E-mail: {hjrong, egbhuang, asysong}@ntu.edu.sg tu-logo IEEE World Congress on Computational Intelligence ur-logo Hong Kong, June 1-6 2008 ELM Web Portal: www.ntu.edu.sg/home/egbhuang Extreme Learning Machines
    Outline Outline 1 Neural Networks Single-Hidden Layer Feedforward Networks (SLFNs) Conventional Learning Algorithms of SLFNs 2 Extreme Learning Machine Unified Learning Platform ELM Algorithm 3 ELM for Multi-Categories Classification Problems 4 Performance Evaluations 5 Summary tu-logo ur-logo ELM Web Portal: www.ntu.edu.sg/home/egbhuang Extreme Learning Machines
    Outline Outline 1 Neural Networks Single-Hidden Layer Feedforward Networks (SLFNs) Conventional Learning Algorithms of SLFNs 2 Extreme Learning Machine Unified Learning Platform ELM Algorithm 3 ELM for Multi-Categories Classification Problems 4 Performance Evaluations 5 Summary tu-logo ur-logo ELM Web Portal: www.ntu.edu.sg/home/egbhuang Extreme Learning Machines
    Outline Outline 1 Neural Networks Single-Hidden Layer Feedforward Networks (SLFNs) Conventional Learning Algorithms of SLFNs 2 Extreme Learning Machine Unified Learning Platform ELM Algorithm 3 ELM for Multi-Categories Classification Problems 4 Performance Evaluations 5 Summary tu-logo ur-logo ELM Web Portal: www.ntu.edu.sg/home/egbhuang Extreme Learning Machines
    Outline Outline 1 Neural Networks Single-Hidden Layer Feedforward Networks (SLFNs) Conventional Learning Algorithms of SLFNs 2 Extreme Learning Machine Unified Learning Platform ELM Algorithm 3 ELM for Multi-Categories Classification Problems 4 Performance Evaluations 5 Summary tu-logo ur-logo ELM Web Portal: www.ntu.edu.sg/home/egbhuang Extreme Learning Machines
    Outline Outline 1 Neural Networks Single-Hidden Layer Feedforward Networks (SLFNs) Conventional Learning Algorithms of SLFNs 2 Extreme Learning Machine Unified Learning Platform ELM Algorithm 3 ELM for Multi-Categories Classification Problems 4 Performance Evaluations 5 Summary tu-logo ur-logo ELM Web Portal: www.ntu.edu.sg/home/egbhuang Extreme Learning Machines
    Neural Networks ELM ELM for Multi-Categories Classification Problems Performance Evaluations Summary SLFN Models Learning Methods Outline 1 Neural Networks Single-Hidden Layer Feedforward Networks (SLFNs) Conventional Learning Algorithms of SLFNs 2 Extreme Learning Machine Unified Learning Platform ELM Algorithm 3 ELM for Multi-Categories Classification Problems 4 Performance Evaluations 5 Summary tu-logo ur-logo ELM Web Portal: www.ntu.edu.sg/home/egbhuang Extreme Learning Machines
    Neural Networks ELM ELM for Multi-Categories Classification Problems Performance Evaluations Summary SLFN Models Learning Methods Feedforward Neural Networks with Additive Nodes Output of hidden nodes G(ai , bi , x) = g(ai · x + bi ) (1) ai : the weight vector connecting the ith hidden node and the input nodes. bi : the threshold of the ith hidden node. Output of SLFNs fL(x) = LX i=1 βi G(ai , bi , x) (2) tu-logo Figure 1: Feedforward Network Architecture: additive hidden nodes βi : the weight vector connecting the ith hidden node and the output nodes. ur-logo ELM Web Portal: www.ntu.edu.sg/home/egbhuang Extreme Learning Machines
    分享到：
    赞 收藏

    相关推荐

    资料库

    课程资源

    共收录17145份资料，累计13个分类，关注成员有19位，主要包括：PHP,网络管理,网页制作,Java,.Net,数据库,3G/移动开发,C/C++,游戏开发,嵌入式,讲义,软件测试,专业指导

    热门标签

    PHP 网络管理 网页制作 Java .Net 数据库 3G/移动开发 C/C++ 游戏开发 嵌入式 讲义 软件测试 专业指导

    最新资料