Machine Learning Research

Volume 2, Issue 4, December 2017

  • Robust Exponential Stability of Periodic Solutions for Static Recurrent Neural Networks with Delays

    Guang-Hua Zhang, Hong Zhang, Jiangfeng Li, Shanzai Lee

    Issue: Volume 2, Issue 4, December 2017
    Pages: 113-118
    Received: Feb. 06, 2017
    Accepted: May 22, 2017
    Published: Jul. 14, 2017
    DOI: 10.11648/j.mlr.20170204.11
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    Abstract: In this paper, we study the existence of periodic solutions of time-invariant static recurrent neural networks by using the fixed point theory, Poineare map and Lyapunov function combined with inequality techniques. The static recurrent neural network is a kind of neural network which studies the external states of neurons as variables. And its glo... Show More
  • Global Exponential Stability of Periodic Solutions for Static Recurrent Neural Networks with Impulsive Finite

    Xuan Guo, Hong Zhang, Shanzai Lee

    Issue: Volume 2, Issue 4, December 2017
    Pages: 119-124
    Received: Feb. 07, 2017
    Accepted: May 22, 2017
    Published: Jul. 17, 2017
    DOI: 10.11648/j.mlr.20170204.12
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    Abstract: In this paper, we consider the sufficient conditions for the stability of periodic solutions of static recurrent neural networks with impulsive delay. In this paper, we study the time - delay static recurrent neural network affected by pulse. The results show that the neural network is stable when the pulse function is linear and relatively small, ... Show More
  • Unsupervised Dimensionality Reduction for High-Dimensional Data Classification

    Hany Yan, Hu Tianyu

    Issue: Volume 2, Issue 4, December 2017
    Pages: 125-132
    Received: Jul. 20, 2017
    Accepted: Aug. 09, 2017
    Published: Aug. 31, 2017
    DOI: 10.11648/j.mlr.20170204.13
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    Abstract: This paper carries on research surrounding the influences produced by dimensionality reduction on machine learning classification effect. Firstly, paper constructs the analysis architecture of data dimension reduction classification, combines the two different unsupervised dimension reduction methods, locally linear embedding (LLE) and principal co... Show More
  • Performance Evaluation of Cooperative RL Algorithms for Dynamic Decision Making in Retail Shop Application

    Deepak Annasaheb Vidhate, Parag Arun Kulkarni

    Issue: Volume 2, Issue 4, December 2017
    Pages: 133-147
    Received: Sep. 27, 2017
    Accepted: Oct. 20, 2017
    Published: Dec. 12, 2017
    DOI: 10.11648/j.mlr.20170204.14
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    Abstract: A novel approach by Expertise based Multi-agent Cooperative Reinforcement Learning Algorithms (EMCRLA) for dynamic decision-making in the retail application is proposed in this paper. Performance evaluation between Cooperative Reinforcement Learning Algorithms and Expertise based Multi-agent Cooperative Reinforcement Learning Algorithms (EMCRLA) is... Show More
  • Early Assessment of Mild Alzheimer’s Disease Using Elman Neural Network, LDA and SVM Methods

    Peyman Goli, Elias Mazrooei Rad, Kavian Ghandehari, Mehdi Azarnoosh

    Issue: Volume 2, Issue 4, December 2017
    Pages: 148-151
    Received: Oct. 23, 2017
    Accepted: Nov. 10, 2017
    Published: Dec. 15, 2017
    DOI: 10.11648/j.mlr.20170204.15
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    Abstract: This research provides a process for diagnosising the mild Alzheimer's disease from the brain signals. Due to the material and spiritual costs of nursing, carring and treatment of this disease, the early acurate diagnosis would be much usedful. Considering the effect of the mild Alzheimer's disease on electroencephalography (EEG), the mild Alzheime... Show More
  • Radial Basis Function Neuroscaling Algorithms for Efficient Facial Image Recognition

    Vincent A. Akpan, Joshua B. Agbogun, Michael T. Babalola, Bamidele A. Oluwade

    Issue: Volume 2, Issue 4, December 2017
    Pages: 152-168
    Received: Sep. 30, 2017
    Accepted: Nov. 09, 2017
    Published: Dec. 28, 2017
    DOI: 10.11648/j.mlr.20170204.16
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    Abstract: A Radial basis function neural network-based probabilistic principal component analysis (RBFNN-PPCA) on image recognition based on facial recognition was made. The variational properties of face images are investigated with Eigenfaces algorithm to validate the proposed RBFNN-PPCA algorithm and technique for enhanced optimal image recognition system... Show More