Listar 2017 por tema 

Listar2017 por tema "neural network"

Mostrando ítems 1-4 de 4

    • Robust Artificial Immune System in the Hopfield network for Maximum k-Satisfiability 

      Bin Mohd Kasihmuddin, Mohd Shareduwan; Bin Mansor, Mohd Asyraf; Sathasivam, Saratha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      Artificial Immune System (AIS) algorithm is a novel and vibrant computational paradigm, enthused by the biological immune system. Over the last few years, the artificial immune system has been sprouting to solve numerous ...

    • Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network 

      Esmaeilpour, Mansour; Abbasi, Rezvan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      Electroencephalogram signals (EEG) have always been used in medical diagnosis. Evaluation of the statistical characteristics of EEG signals is actually the foundation of all brain signal processing methods. Since the correct ...

    • Smart Algorithms to Control a Variable Speed Wind Turbine 

      Farhane, Nabil; Boumhidi, Ismail; Boumhidi, Jaouad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      In this paper, a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive shaft. Fuzzy ...

    • The Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM 

      Esmaeilpour, Mansour; Gohariyan, Elham; Shirmohammadi, Mohammad Mehdi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      Breast cancer is one of the common cancers among women so that early diagnosing of it can effectively help its treatment in this study, considering combination of Mammography and MRI pictures, we will try to recognize ...