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A new parameter identification method for type-1 TS fuzzy neural network

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成果类型:
期刊论文、会议论文
作者:
Gao, Tao*;Li, Long;Zhang, Zhen;Sun, Zhanquan;Wang, Jian
通讯作者:
Gao, Tao
作者机构:
[Gao, Tao] China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Peoples R China.
[Li, Long] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421000, Peoples R China.
[Wang, Jian; Zhang, Zhen] China Univ Petr, Coll Sci, Qingdao 266580, Peoples R China.
[Sun, Zhanquan] Shandong Comp Sci Ctr, Shandong Prov Key Lab Comp Networks, Jinan 250014, Shandong, Peoples R China.
通讯机构:
[Gao, Tao] C
China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Peoples R China.
语种:
英文
关键词:
Conjugate gradient method;Fuzzy inference;Fuzzy neural networks;Inference engines;Learning algorithms;Learning systems;Gaussians;Gradient based algorithm;Learning performance;Neuro-fuzzy learning algorithm;Real applications;Softmin;T-S fuzzy neural network;Takagi-sugeno;Fuzzy logic
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2018
卷:
10878 LNCS
页码:
200-207
会议名称:
15th International Symposium on Neural Networks, ISNN 2018
会议论文集名称:
Advances in Neural Networks – ISNN 2018
会议时间:
25 June 2018 through 28 June 2018
会议地点:
Minsk, BELGIUM
会议主办单位:
[Gao, Tao] China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Peoples R China.^[Li, Long] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421000, Peoples R China.^[Zhang, Zhen;Wang, Jian] China Univ Petr, Coll Sci, Qingdao 266580, Peoples R China.^[Sun, Zhanquan] Shandong Comp Sci Ctr, Shandong Prov Key Lab Comp Networks, Jinan 250014, Shandong, Peoples R China.
会议赞助商:
Belarusian State Univ, Dalian Univ Technol, City Univ Hong Kong, IEEE Computat Intelligence Soc, Int Neural Network Soc, Polish Neural Network Soc, Russian Neural Network Soc
主编:
Tingwen Huang<&wdkj&>Jiancheng Lv<&wdkj&>Changyin Sun<&wdkj&>Alexander V. Tuzikov
出版地:
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
出版者:
Springer Verlag
ISBN:
9783319925363
基金类别:
This work was supported in part by the National Natural Science Foundation of China (No. 61305075), the Natural Science Foundation of Shandong Province (No. ZR2015AL014, ZR201709220208) and the Fundamental Research Funds for the Central Universities (No. 15CX08011A, 18CX02036A).
机构署名:
本校为其他机构
院系归属:
数学与统计学院
摘要:
Conjugate gradient methods can be used with advantages such as fast convergence and low memory requirement in real applications. A conjugate gradient-based neuro-fuzzy learning algorithm for zero-order Takagi-Sugeno inference systems is proposed in this paper. Compared with the existing gradient-based algorithm, this m...

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