Investigation of Multi-Layer Perceptron with pulse glial chain based on individual inactivity period
Investigation of Multi-Layer Perceptron with pulse glial chain based on individual inactivity period
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DOI：
10.1109/ijcnn.2014.6889905
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发表时间：
2014-07
期刊：
影响因子：
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通讯作者：
C. Ikuta;Y. Uwate;Y. Nishio
中科院分区：
文献类型：
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作者：
C. Ikuta;Y. Uwate;Y. Nishio
在这项研究中，我们提出了一种多层感知器（MLP），该感知器基于个体不活动周期的脉冲胶质链，该感知器的灵感来自于胶质细胞的生物学特性。在这种方法中，我们将胶质细胞与隐藏层中的神经元逐一连接起来。连接的胶质细胞被连接的神经元的输出所激发。然后，神经胶质细胞产生脉冲。这个脉冲被输入到连接神经元的阈值。此外，这个脉冲被传播到神经胶质网络中。因此，胶质细胞之间有一个位置密度。在该网络中，神经胶质细胞的不活动周期根据脉冲产生时间动态变化。在以前的方法中，我们固定了不活动的周期，因此脉冲产生模式通常是固定的。它类似于局部最小值。通过改变不活动周期，脉冲产生模式得到了多样性。我们认为这种脉冲产生模式的多样性对MLP的性能是有效的。通过仿真，我们证实了所提出的MLP比传统的MLP性能有所提高。
In this study, we propose a Multi-Layer Perceptron (MLP) with pulse glial chain based on individual inactivity period which is inspired from biological characteristics of a glia. In this method, we one-by-one connect a glia with neurons in the hidden-layer. The connected glia is excited by the connecting neuron output. Then, the glia generates the pulse. This pulse is input to the connecting neuron threshold. Moreover, this pulse is propagated into the glia network. Thus, the glia has a position density each other. In this network, a period of inactivity of the glia is dynamically changed according to pulse generation time. In the previous method, we fix the period of inactivity, thus the pulse generation pattern is often fixed. It is similar to the local minimum. By varied the period of inactivity, the pulse generation pattern obtains the diversity. We consider that this diversity of the pulse generation pattern is efficiency to the MLP performance. By the simulation, we confirm that the proposed MLP improves the MLP performance than the conventional MLP.