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Information Journal Paper

Title

TWO NOVEL LEARNING ALGORITHMS FOR CMAC NEURAL NETWORK BASIS ON CHANGEABLE LEARNING RATE

Pages

  37-42

Abstract

 Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which acts as a lookup table. The advantages of CMAC are fast learning convergence, and capability of mapping nonlinear functions due to its local generalization of weight updating, single structure and easy processing. In the training phase, the disadvantage of some CMAC models is unstable phenomenon or slower convergence speed due to larger fixed or smaller fixed LEARNING RATE respectively. The present research deals with offering two solutions for this problem. The original idea of the present research is using changeable LEARNING RATE at each state of training phase in the CMAC model. The first algorithm deals with a new LEARNING RATE based on reviation of LEARNING RATE. The second algorithm deals with number of TRAINING ITERATION and performance learning, with respect to this fact that error is compatible with inverse training time. Simulation results show that this algorithms have faster convergence and better performance in comparison to conventional CMAC model in all training cycles.

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  • Cite

    APA: Copy

    MODHEJ, NAZAL, TESHNEHLAB, MOHAMMAD, & ABBASI DEZFOULI, MASHALLAH. (2015). TWO NOVEL LEARNING ALGORITHMS FOR CMAC NEURAL NETWORK BASIS ON CHANGEABLE LEARNING RATE. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 1(1), 37-42. SID. https://sid.ir/paper/346228/en

    Vancouver: Copy

    MODHEJ NAZAL, TESHNEHLAB MOHAMMAD, ABBASI DEZFOULI MASHALLAH. TWO NOVEL LEARNING ALGORITHMS FOR CMAC NEURAL NETWORK BASIS ON CHANGEABLE LEARNING RATE. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2015;1(1):37-42. Available from: https://sid.ir/paper/346228/en

    IEEE: Copy

    NAZAL MODHEJ, MOHAMMAD TESHNEHLAB, and MASHALLAH ABBASI DEZFOULI, “TWO NOVEL LEARNING ALGORITHMS FOR CMAC NEURAL NETWORK BASIS ON CHANGEABLE LEARNING RATE,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 1, no. 1, pp. 37–42, 2015, [Online]. Available: https://sid.ir/paper/346228/en

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