메뉴 건너뛰기




Volumn 29, Issue 1, 2008, Pages 47-55

A robust learning algorithm based on support vector regression and robust fuzzy cerebellar model articulation controller

Author keywords

CMAC; Fuzzy CMAC; Particle swarm optimization; Robust learning; SVR

Indexed keywords

AEROSPACE APPLICATIONS; ALGORITHMS; APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; CHEMICAL MODIFICATION; COMPUTATIONAL GEOMETRY; EDUCATION; ERROR ANALYSIS; EVOLUTIONARY ALGORITHMS; FOOD PROCESSING; FUZZY LOGIC; INTEGER PROGRAMMING; LEARNING SYSTEMS; MATHEMATICAL MODELS; MULTITASKING; NEURAL NETWORKS; NUMBER THEORY; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); SCHEDULING ALGORITHMS; SET THEORY; SUPPORT VECTOR MACHINES; VECTORS;

EID: 45749097829     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-007-0080-0     Document Type: Article
Times cited : (8)

References (30)
  • 1
    • 0016556021 scopus 로고
    • A new approach to manipulator control: The cerebellar model articulation controller (CMAC)
    • 3
    • Albus JS (1975) A new approach to manipulator control: the cerebellar model articulation controller (CMAC). ASME J Dyn Syst Meas Control 97(3):220-227
    • (1975) ASME J Dyn Syst Meas Control , vol.97 , pp. 220-227
    • Albus, J.S.1
  • 2
    • 0016555419 scopus 로고
    • Data storage in the cerebellar model articulation controller (CMAC)
    • 3
    • Albus JS (1975) Data storage in the cerebellar model articulation controller (CMAC). ASME J Dyn Syst Meas Control 97(3):228-233
    • (1975) ASME J Dyn Syst Meas Control , vol.97 , pp. 228-233
    • Albus, J.S.1
  • 3
    • 0026623811 scopus 로고
    • Learning convergence in the cerebellar model articulation controller
    • 1
    • Wong Y-F, Sideris A (1992) Learning convergence in the cerebellar model articulation controller. IEEE Trans Neural Netw 3(1):115-121
    • (1992) IEEE Trans Neural Netw , vol.3 , pp. 115-121
    • Wong, Y.-F.1    Sideris, A.2
  • 4
    • 0026925086 scopus 로고
    • A comparison of five algorithm for the training of CMAC memories for learning control systems
    • 5
    • Lane SH, Militzer J (1992) A comparison of five algorithm for the training of CMAC memories for learning control systems. Int Fed Autom Control 28(5):1027-1035
    • (1992) Int Fed Autom Control , vol.28 , pp. 1027-1035
    • Lane, S.H.1    Militzer, J.2
  • 5
    • 0026624230 scopus 로고
    • The CMAC and a theorem of Kolmogorov
    • Cotter NE, Guillerm TJ (1991) The CMAC and a theorem of Kolmogorov. Neural Netw 5:221-228
    • (1991) Neural Netw , vol.5 , pp. 221-228
    • Cotter, N.E.1    Guillerm, T.J.2
  • 6
    • 33749653276 scopus 로고    scopus 로고
    • A self-constructing fuzzy CMAC model and its applications
    • 1
    • Lee C-Y, Lin C-J, Chen H-J (2007) A self-constructing fuzzy CMAC model and its applications. Inf Sci 177(1):264-280
    • (2007) Inf Sci , vol.177 , pp. 264-280
    • Lee, C.-Y.1    Lin, C.-J.2    Chen, H.-J.3
  • 8
    • 0026866257 scopus 로고
    • Controlling a truck with an adaptive critic CMAC design
    • 5
    • Shelton RO, Peterson JK (1992) Controlling a truck with an adaptive critic CMAC design. Simulation 58(5):319-326
    • (1992) Simulation , vol.58 , pp. 319-326
    • Shelton, R.O.1    Peterson, J.K.2
  • 10
    • 0032665155 scopus 로고    scopus 로고
    • Real-time dynamic visual tracking using PSD sensors and extended trapezoidal motion planning
    • Nam S-H, Oh S-Y (1999) Real-time dynamic visual tracking using PSD sensors and extended trapezoidal motion planning. Appl Intell 10(1)
    • (1999) Appl Intell , vol.10 , Issue.1
    • Nam, S.-H.1    Oh, S.-Y.2
  • 11
    • 0032187591 scopus 로고    scopus 로고
    • Smooth trajectory tracking of three-link robot: A self-organizing CMAC approach
    • 5
    • Hwang K-S, Lin C-S (1998) Smooth trajectory tracking of three-link robot: a self-organizing CMAC approach. IEEE Trans Syst Man Cybern Part B 28(5):680-692
    • (1998) IEEE Trans Syst Man Cybern Part B , vol.28 , pp. 680-692
    • Hwang, K.-S.1    Lin, C.-S.2
  • 12
    • 0030269537 scopus 로고    scopus 로고
    • Hierarchical image coding via cerebellar model arithmetic computers
    • 10
    • Iiguni Y (1996) Hierarchical image coding via cerebellar model arithmetic computers. IEEE Trans Image Process 5(10):1393-1401
    • (1996) IEEE Trans Image Process , vol.5 , pp. 1393-1401
    • Iiguni, Y.1
  • 13
    • 0037382802 scopus 로고    scopus 로고
    • Credit assigned CMAC and its application to online learning robust controllers
    • 2
    • Su S-F, Tao T, Hung T-H (2003) Credit assigned CMAC and its application to online learning robust controllers. IEEE Trans Syst Man Cybern Part B 33(2):202-213
    • (2003) IEEE Trans Syst Man Cybern Part B , vol.33 , pp. 202-213
    • Su, S.-F.1    Tao, T.2    Hung, T.-H.3
  • 14
    • 2942691390 scopus 로고    scopus 로고
    • A genetic algorithm based robust learning credit assignment cerebellar model articulation controller
    • 4
    • Lee Z-J, Wang Y-P, Su S-F (2006) A genetic algorithm based robust learning credit assignment cerebellar model articulation controller. Appl Soft Comput 4(4):357-367
    • (2006) Appl Soft Comput , vol.4 , pp. 357-367
    • Lee, Z.-J.1    Wang, Y.-P.2    Su, S.-F.3
  • 15
    • 31744452241 scopus 로고    scopus 로고
    • Robust and fast learning for fuzzy cerebellar model articulation controllers
    • 1
    • Su S-F, Lee Z-J, Wang Y-P (2006) Robust and fast learning for fuzzy cerebellar model articulation controllers. IEEE Trans Syst Man Cybern Part B 36(1):1-6
    • (2006) IEEE Trans Syst Man Cybern Part B , vol.36 , pp. 1-6
    • Su, S.-F.1    Lee, Z.-J.2    Wang, Y.-P.3
  • 17
    • 33744967706 scopus 로고    scopus 로고
    • Robust classification and regression using support vector machines
    • Trafalis TB, Gilbert RC (2006) Robust classification and regression using support vector machines. Eur J Oper Res 173:893-909
    • (2006) Eur J Oper Res , vol.173 , pp. 893-909
    • Trafalis, T.B.1    Gilbert, R.C.2
  • 18
    • 0346250790 scopus 로고    scopus 로고
    • Practical selection of SVM parameters and noise estimation for SVM regression
    • 1
    • Cherkassky V, Yunqian M (2004) Practical selection of SVM parameters and noise estimation for SVM regression. Neural Netw 17(1):113-126
    • (2004) Neural Netw , vol.17 , pp. 113-126
    • Cherkassky, V.1    Yunqian, M.2
  • 19
    • 33744538355 scopus 로고    scopus 로고
    • Hybrid approach of selecting hybperparameters of support vector machine for regression
    • 3
    • Jeng J-T (2006) Hybrid approach of selecting hybperparameters of support vector machine for regression. IEEE Trans Syst Man Cybern Part B 36(3):699-709
    • (2006) IEEE Trans Syst Man Cybern Part B , vol.36 , pp. 699-709
    • Jeng, J.-T.1
  • 20
    • 20444505293 scopus 로고    scopus 로고
    • Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization
    • Üstün B, Melssen WJ, Oudenhuijzen M, Buydens LMC (2005) Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization. Anal Chim Acta 544:292-305
    • (2005) Anal Chim Acta , vol.544 , pp. 292-305
    • Üstün, B.1    Melssen, W.J.2    Oudenhuijzen, M.3    Buydens, L.M.C.4
  • 22
  • 23
    • 18944389568 scopus 로고    scopus 로고
    • A particle swarm optimization to identifying the ARMAX model for short-term load forecasting
    • Huang C-M, Huang C-J, Wang M-L (2005) A particle swarm optimization to identifying the ARMAX model for short-term load forecasting. IEEE Trans Power Syst 20:1126-1133
    • (2005) IEEE Trans Power Syst , vol.20 , pp. 1126-1133
    • Huang, C.-M.1    Huang, C.-J.2    Wang, M.-L.3
  • 24
    • 14044268702 scopus 로고    scopus 로고
    • An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems
    • 2
    • Xia W, Wu Z (2005) An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems. Comput Ind Eng 48(2):409-425
    • (2005) Comput Ind Eng , vol.48 , pp. 409-425
    • Xia, W.1    Wu, Z.2
  • 25
    • 33744730797 scopus 로고    scopus 로고
    • Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
    • 3
    • Liang J-J, Qin AK, Suganthan PN, Baskar S (2006) Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans Evol Comput 10(3):281-295
    • (2006) IEEE Trans Evol Comput , vol.10 , pp. 281-295
    • Liang, J.-J.1    Qin, A.K.2    Suganthan, P.N.3    Baskar, S.4
  • 26
    • 0026624071 scopus 로고
    • Using additive noise in back-propagation training
    • Holmstrom L, Koistinen P (1992) Using additive noise in back-propagation training. IEEE Trans Neural Netw 3:24-38
    • (1992) IEEE Trans Neural Netw , vol.3 , pp. 24-38
    • Holmstrom, L.1    Koistinen, P.2
  • 28
    • 0031275971 scopus 로고    scopus 로고
    • Learning convergence of CMAC Technique
    • 6
    • Lin C-S, Chiang C-T (1997) Learning convergence of CMAC Technique. IEEE Trans Neural Netw 8(6):1281-1292
    • (1997) IEEE Trans Neural Netw , vol.8 , pp. 1281-1292
    • Lin, C.-S.1    Chiang, C.-T.2
  • 29
    • 0035696162 scopus 로고    scopus 로고
    • Robust TSK fuzzy modeling for function approximation with outliers
    • 6
    • Chuang C-C, Su S-F, Chen S-S (2001) Robust TSK fuzzy modeling for function approximation with outliers. IEEE Trans Fuzzy Syst 9(6):810-821
    • (2001) IEEE Trans Fuzzy Syst , vol.9 , pp. 810-821
    • Chuang, C.-C.1    Su, S.-F.2    Chen, S.-S.3
  • 30
    • 0028401357 scopus 로고
    • Recurrent neural networks and robust time series prediction
    • 2
    • Connor JT, Martin RD, Atlas LE (1994) Recurrent neural networks and robust time series prediction. IEEE Trans Neural Netw 5(2):240-254
    • (1994) IEEE Trans Neural Netw , vol.5 , pp. 240-254
    • Connor, J.T.1    Martin, R.D.2    Atlas, L.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.