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Volumn 5, Issue 4, 2003, Pages 547-553

Application of an adaptive neuro-fuzzy inference system in inventory control

Author keywords

Feedback systems; Inventory control; Learning control; Neuro fuzzy logic; PID control; System dynamics

Indexed keywords

CONTROL EQUIPMENT; INFERENCE ENGINES; INVENTORY CONTROL; MATHEMATICAL MODELS; PRODUCTIVITY; SET THEORY;

EID: 3042572707     PISSN: 10255818     EISSN: None     Source Type: Journal    
DOI: 10.1080/10255810390445472     Document Type: Article
Times cited : (10)

References (16)
  • 1
    • 0019554207 scopus 로고
    • Some features common to inventory system and process controller design
    • Towill, D. R. and S. S. Yoon. 1982. Some features common to inventory system and process controller design, Engineering Costs and Production Economics 6:225-236.
    • (1982) Engineering Costs and Production Economics , vol.6 , pp. 225-236
    • Towill, D.R.1    Yoon, S.S.2
  • 2
    • 0022013291 scopus 로고
    • Control theory concepts in production and inventory control
    • Axsater, S. 1985. Control theory concepts in production and inventory control. International Journal of Systems Science 16:161-169.
    • (1985) International Journal of Systems Science , vol.16 , pp. 161-169
    • Axsater, S.1
  • 3
    • 0002949576 scopus 로고
    • Common foundations between control engineering and manufacturing and management
    • Towill, D. R. 1988. Common foundations between control engineering and manufacturing and management. European Journal of Engineering Education 13:415-430.
    • (1988) European Journal of Engineering Education , vol.13 , pp. 415-430
    • Towill, D.R.1
  • 6
  • 9
    • 0027694650 scopus 로고
    • On methods for improving performance of Pl-type fuzzy logic controllers
    • Lee, J. 1993. On methods for improving performance of Pl-type fuzzy logic controllers. IEEE Transactions on Fuzzy Systems 1:298-301.
    • (1993) IEEE Transactions on Fuzzy Systems , vol.1 , pp. 298-301
    • Lee, J.1
  • 10
    • 0038586636 scopus 로고
    • Natick, Massachusetts: Mathworks
    • Mathworks Inc. 1995. Simulink User's Manual, Natick, Massachusetts: Mathworks.
    • (1995) Simulink User's Manual
  • 12
    • 0033078626 scopus 로고    scopus 로고
    • A robust self-tuning scheme for PI- And PD-type fuzzy controllers
    • Mudi, R. K. and N. R. Pal. 1999. A robust self-tuning scheme for PI- and PD-type fuzzy controllers. IEEE Transactions on Fuzzy Systems 7:2-16.
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , pp. 2-16
    • Mudi, R.K.1    Pal, N.R.2
  • 15
    • 0034187785 scopus 로고    scopus 로고
    • Neuro-fuzzy rule generation: Survey in soft computing framework
    • Mitra, S. and Y. Hayashi. 2000. Neuro-fuzzy rule generation: survey in soft computing framework. IEEE Transactions on Neural Networks 11:748-768.
    • (2000) IEEE Transactions on Neural Networks , vol.11 , pp. 748-768
    • Mitra, S.1    Hayashi, Y.2
  • 16
    • 0036504580 scopus 로고    scopus 로고
    • Self-generating rule-mapping fuzzy controller design using a genetic algorithm
    • Chen, C.-C. and C.-C. Wong. 2002. Self-generating rule-mapping fuzzy controller design using a genetic algorithm. IEE Proceedings on Control Theory Applications 149:143-148.
    • (2002) IEE Proceedings on Control Theory Applications , vol.149 , pp. 143-148
    • Chen, C.-C.1    Wong, C.-C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.