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Volumn 127, Issue , 2017, Pages 32-36

A new adaptive network-based fuzzy inference system with adaptive adjustment rules for stock market volatility forecasting

Author keywords

Adaptive Network Based Fuzzy Inference System (ANFIS); Algorithms; Fruit Fly Optimization Algorithm (FOA); Shanghai A share stocks; Stock volatility

Indexed keywords

ALGORITHMS; ELECTRONIC TRADING; FINANCIAL MARKETS; FORECASTING; FRUITS; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INFERENCE ENGINES; INTELLIGENT CONTROL; INVESTMENTS; OPTIMIZATION; RISK MANAGEMENT;

EID: 85021825936     PISSN: 00200190     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipl.2017.06.012     Document Type: Article
Times cited : (16)

References (8)
  • 1
    • 79151470984 scopus 로고    scopus 로고
    • Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach
    • Tung, W.L., Quek, C., Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach. Expert Syst. Appl. 38 (2011), 4668–4688.
    • (2011) Expert Syst. Appl. , vol.38 , pp. 4668-4688
    • Tung, W.L.1    Quek, C.2
  • 2
    • 77957840499 scopus 로고    scopus 로고
    • An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: the case of the Istanbul Stock Exchange
    • Boyacioglu, M.A., Avci, D., An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: the case of the Istanbul Stock Exchange. Expert Syst. Appl. 37 (2010), 7908–7912.
    • (2010) Expert Syst. Appl. , vol.37 , pp. 7908-7912
    • Boyacioglu, M.A.1    Avci, D.2
  • 3
    • 58749094998 scopus 로고    scopus 로고
    • Surveying stock market forecasting techniques—part II: Soft computing methods
    • Atsalakis, G.S., Valavanis, K.P., Surveying stock market forecasting techniques—part II: Soft computing methods. Expert Syst. Appl. 36 (2009), 5932–5941.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 5932-5941
    • Atsalakis, G.S.1    Valavanis, K.P.2
  • 4
    • 84923354640 scopus 로고    scopus 로고
    • Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks
    • Wang, J., Wang, J., Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks. Neurocomputing 156 (2015), 68–78.
    • (2015) Neurocomputing , vol.156 , pp. 68-78
    • Wang, J.1    Wang, J.2
  • 5
    • 84878929829 scopus 로고    scopus 로고
    • An adaptive network-based fuzzy inference system (ANFIS) for the forecasting: the case of close price indices
    • Svalina, I., Galzina, V., Lujić, R., Simunović, G., An adaptive network-based fuzzy inference system (ANFIS) for the forecasting: the case of close price indices. Expert Syst. Appl. 40 (2013), 6055–6063.
    • (2013) Expert Syst. Appl. , vol.40 , pp. 6055-6063
    • Svalina, I.1    Galzina, V.2    Lujić, R.3    Simunović, G.4
  • 6
    • 84866427091 scopus 로고    scopus 로고
    • Fruit Fly Optimization Algorithm
    • Tsang Hai Book Publishing Co. Taipei
    • Pan, W., Fruit Fly Optimization Algorithm. 2011, Tsang Hai Book Publishing Co., Taipei.
    • (2011)
    • Pan, W.1
  • 7
    • 84155181068 scopus 로고    scopus 로고
    • A new fruit fly optimization algorithm: taking the financial distress model as an example
    • Pan, W., A new fruit fly optimization algorithm: taking the financial distress model as an example. Knowl.-Based Syst. 26 (2012), 69–74.
    • (2012) Knowl.-Based Syst. , vol.26 , pp. 69-74
    • Pan, W.1
  • 8
    • 84935034277 scopus 로고    scopus 로고
    • Combined supervised information with PCA via discriminative component selection
    • Huang, S., Yang, D., Yongxin, G., Zhang, X., Combined supervised information with PCA via discriminative component selection. Inf. Process. Lett. 115 (2015), 812–816.
    • (2015) Inf. Process. Lett. , vol.115 , pp. 812-816
    • Huang, S.1    Yang, D.2    Yongxin, G.3    Zhang, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.