Multi-objective Artificial Bee Colony Algorithm with Information Learning for Model Optimization of Extreme Learning Machine
文献类型：会议论文
| 作者 | Zhang H(张浩) ; Zhang DY(张丁一); Ku T(库涛)
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| 出版日期 | 2019 |
| 会议日期 | November 21-23, 2018 |
| 会议地点 | Singapore |
| 关键词 | Multi-objective optimization Artificial bee colony Extreme learning machine Machine learning Swarm intelligence |
| 页码 | 263-272 |
| 英文摘要 | As an important branch of neural networks, extreme learning machine with single-hiddenlayer feedforward have been a effective tool for regression and classification applications. However, it is difficult for ELMs to strike a balance between testing accuracy and generalization due to the random input weights and hidden biases. In this paper, a novel multi-objective optimization method of ELM based on swarm intelligence behavior is proposed to obtain good generalization ability and high testing accuracy simultaneously. The multi-objective optimization algorithm is used to select optimal input weights by minimizing this testing error and the norm of output weight. In order to improve optimal performance, an information learning method is introduced to multi-objective artificial bee colony algorithm. Experiments on four UCI data sets are conducted, and original ELM, ELM with nondominated sorting genetic algorithm and the proposed algorithm are compared. The results show that the proposed algorithm can generally obtain better generalization performance and higher accuracy with more compact network than original ELM and ELM with nondominated sorting genetic algorithm simultaneously. |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 9th International Conference on Extreme Learning Machines (ELM2018)
 |
| 会议录出版者 | Springer |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISBN号 | 978-3-030-23306-8 |
| 源URL | [http://ir.sia.cn/handle/173321/26066]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 通讯作者 | Zhang DY(张丁一) |
| 作者单位 | Shenyang Institute of Automation, Chinese Academy of Science, 114 Nanta Street, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Zhang H,Zhang DY,Ku T. Multi-objective Artificial Bee Colony Algorithm with Information Learning for Model Optimization of Extreme Learning Machine[C]. 见:. Singapore. November 21-23, 2018. |
入库方式： OAI收割
来源：沈阳自动化研究所
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