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Volumn , Issue , 2011, Pages 200-205

Bacterial foraging optimization algorithm for neural network learning enhancement

Author keywords

Backpropagation; Bacterial Foraging; Neural Network; Particle Swarm

Indexed keywords

BACTERIAL FORAGING; BACTERIAL FORAGING OPTIMIZATION ALGORITHMS; CLASSIFICATION ACCURACY; CONVERGENCE RATES; LEARNING PROCESS; LOCAL MINIMUMS; MULTI LAYER PERCEPTRON; NEURAL NETWORK LEARNING; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PROCESS NEEDS; REAL-WORLD PROBLEM; TRAINING TIME;

EID: 84856712533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HIS.2011.6122105     Document Type: Conference Paper
Times cited : (23)

References (19)
  • 1
    • 0000409367 scopus 로고
    • Artificial neural networks in control applications
    • Vemuri, V. (1993). Artificial neural networks in control applications. Advances in computers.
    • (1993) Advances in Computers
    • Vemuri, V.1
  • 4
    • 49549089775 scopus 로고    scopus 로고
    • Weights Optimization of Neural Network Via Improved BCO Approach
    • Zhang, Y. and Wu, L. (2008). Weights Optimization of Neural Network Via Improved BCO Approach. Progress In ElectromagneticsResearch. PIER 83,185-198.
    • (2008) Progress in ElectromagneticsResearch. PIER , vol.83 , pp. 185-198
    • Zhang, Y.1    Wu, L.2
  • 8
    • 67650674559 scopus 로고    scopus 로고
    • Genetic Algorithm Based Backpropagation Neural Network Performs better than Backpropagation Neural Network in Stock Rates Prediction
    • Khan, A.U., Bandopadhyaya T.K. and Sharma S. (2008). Genetic Algorithm Based Backpropagation Neural Network Performs better than Backpropagation Neural Network in Stock Rates Prediction. IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.7
    • (2008) IJCSNS International Journal of Computer Science and Network Security , vol.8 , Issue.7
    • Khan, A.U.1    Bandopadhyaya, T.K.2    Sharma, S.3
  • 9
  • 10
    • 34548324859 scopus 로고    scopus 로고
    • A Hybrid Genetic Algorithm and Bacterial Foraging Approach for Global Optimization and Robust Tuning of PID Controller with Disturbance Rejection
    • Springer
    • Kim D.H. and Abraham A. (2007), A Hybrid Genetic Algorithm and Bacterial Foraging Approach for Global Optimization and Robust Tuning of PID Controller with Disturbance Rejection, Studies in Computational Intelligence, Springer.
    • (2007) Studies in Computational Intelligence
    • Kim, D.H.1    Abraham, A.2
  • 11
    • 84856764445 scopus 로고    scopus 로고
    • Bacterial foraging optimization algorithm with particle swarm optimization strategy for global numerical optimization
    • Shen H., Zhu Y, Zhou X., Guo H. and Chang C.(2009). Bacterial foraging optimization algorithm with particle swarm optimization strategy for global numerical optimization. GEC'09, June 12-14
    • (2009) GEC'09, June 12-14
    • Shen, H.1    Zhu, Y.2    Zhou, X.3    Guo, H.4    Chang, C.5
  • 15
    • 0027653233 scopus 로고
    • A review of evolutionary artificial neural networks
    • Yao, X. (1993). A review of evolutionary artificial neural networks. International Journal of Intelligent Systems. 4: 203-222.
    • (1993) International Journal of Intelligent Systems , vol.4 , pp. 203-222
    • Yao, X.1
  • 16
    • 0003689838 scopus 로고
    • Loral Space Information Systems and University of Houston-Clear Lake Book
    • Freeman, J. A. (1994). Simulating Neural Networks with Mathematica. Loral Space Information Systems and University of Houston-Clear Lake. Book page 69
    • (1994) Simulating Neural Networks with Mathematica , pp. 69
    • Freeman, J.A.1
  • 18
    • 0036608987 scopus 로고    scopus 로고
    • Biomimicry of bacterial foraging for distributed optimization and control
    • IEEE . The Ohio State University, 2015 Neil Avenue,Columbus, OH 43210-1272, U.S.A
    • Passino, M. K. (2002). Biomimicry of bacterial foraging for distributed optimization and control. Control Systems Magazine, IEEE . The Ohio State University, 2015 Neil Avenue,Columbus, OH 43210-1272, U.S.A.
    • (2002) Control Systems Magazine
    • Passino, M.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.