Simultaneous Perturbation Stochastic Approximation Algorithm Combined with Neural Network and Fuzzy Simulation

被引：0

作者：

宁玉富 ^{[1
]}

唐万生 ^{[1
]}

郭长友 ^{[2
]}

机构：

[1] Institute of Systems Engineering, Tianjin University

[2] Department of Computer Science, Dezhou University

来源：

Transactions of Tianjin University | 2008年 / 01期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

fuzzy variable; fuzzy programming; fuzzy simulation; neural network; approximation theory; perturbation techniques; computer simulation; simultaneous perturbation stochastic approximation algorithm;

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to solve three kinds of fuzzy programming models, i.e. fuzzy expected value model, fuzzy chance-constrained programming model, and fuzzy dependent-chance pro-gramming model, a simultaneous perturbation stochastic approximation algorithm is proposed by integrating neural network with fuzzy simulation. At first, fuzzy simulation is used to generate a set of input-output data. Then a neural network is trained according to the set. Finally, the trained neural network is embedded in simultaneous perturbation stochastic approximation algorithm. Simultaneous perturbation stochastic approximation algorithm is used to search the optimal solution. Two numerical examples are presented to illustrate the effectiveness of the proposed algorithm.

引用

页码：43 / 49

页数：7

共 50 条

[41] Performance of Simultaneous Perturbation Stochastic Approximation for Feature Selection
Algin, Ramazan
Alkaya, Ali Fuat
Agaoglu, Mustafa
INTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 2, 2022, 505 : 348 - 354
[42] Global random optimization by Simultaneous Perturbation Stochastic Approximation
Maryak, JL
Chin, DC
JOHNS HOPKINS APL TECHNICAL DIGEST, 2004, 25 (02): : 91 - 100
[43] Global random optimization by simultaneous perturbation stochastic approximation
Maryak, JL
Chin, DC
WSC'01: PROCEEDINGS OF THE 2001 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, 2001, : 307 - 312
[44] System identification via simultaneous perturbation stochastic approximation
Hirokami, T
Maeda, Y
SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 1231 - 1232
[45] Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information
Gacon, Julien
Zoufal, Christa
Carleo, Giuseppe
Woerner, Stefan
QUANTUM, 2021, 5
[46] Simultaneous Perturbation Stochastic Approximation for Automatic Speech Recognition
Stein, Daniel
Schwenninger, Jochen
Stadtschnitzer, Michael
14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5, 2013, : 622 - 626
[47] Constrained optimization via stochastic approximation with a simultaneous perturbation gradient approximation
Sadegh, P
AUTOMATICA, 1997, 33 (05) : 889 - 892
[48] MULTIVARIATE STOCHASTIC-APPROXIMATION USING A SIMULTANEOUS PERTURBATION GRADIENT APPROXIMATION
SPALL, JC
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1992, 37 (03) : 332 - 341
[49] Constrained optimization via stochastic approximation with a simultaneous perturbation gradient approximation
Sadegh, P
(SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 1998, : 281 - 285
[50] Model Approximation for Fuzzy Switched Systems With Stochastic Perturbation
Su, Xiaojie
Wu, Ligang
Shi, Peng
Chen, C. L. Philip
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (05) : 1458 - 1473

← 1 2 3 4 5 →