• The equalizer is constructed with decision feedback structure, and an immune algorithm is used to determine the structure and parameters of RBF nonlinear hidden layer.

    这种均衡器引入了判决反馈均衡器的结构,并采用免疫算法确定RBF网络隐层(非线性层)的结构和参数。

    youdao

  • The principle and methods to determine the network parameters such as number of neuron in hidden layer, excitation function and the convergence accuracy have been analyzed in detail.

    并且详细叙述了神经网络结构参数如隐含层神经元个数、激励函数、网络收敛精度等的确定原则和方法。

    youdao

  • The main problems in designing a RBFNN depend on fixing the nodes of the hidden layer, the parameters of the centers and the linear weights.

    设计中存在的主要问题包括隐层神经元数、中心和半径的确定,以及网络权值的训练。

    youdao

  • A multiple networks fusion structure is constructed by combining three multi layer forward propagation network that differ from the others in internal parameters such as the number of hidden …

    应用三个多层前向网络(隐层神经元数、初始权值等取不同值) ,设计了基于分类确信度的多网络融合结构。

    youdao

  • A multiple networks fusion structure is constructed by combining three multi layer forward propagation network that differ from the others in internal parameters such as the number of hidden …

    应用三个多层前向网络(隐层神经元数、初始权值等取不同值) ,设计了基于分类确信度的多网络融合结构。

    youdao

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