The BP algorithm with the variable slope for the sigmoidal activation function accelerates the ANN training dramatically.
应用可变斜率的改进的BP算法，极大地加速神经网络的学习速度。
The transcriptional activation function of GR was evaluated through the detection of relative luciferase activity after dexamethasone treatment.
相对荧光素酶活性法检测地塞米松作用后GR转录激活功能的变化。
The convergence performances of many algorithms are compared from three aspects: activation function, weight modification methods, and target function.
从激励函数、权值修正方法、目标函数三方面对多个改进算法进行收敛性能的比较。
Compared with the existing stability results of neutral-type neural networks, the activation function of neural networks studied in this chapter has a more general form.
与现有中立型神经网络的稳定性结果相比，本章所研究的神经网络的激活函数具有更一般的形式。
Adaptive wavelet neural network intelligent detection is a method in which the wavelet function substitutes for the activation function of hidden layer in the neural network.
自适应小波神经网络检测法就是利用小波函数取代通常神经网络中隐层的作用函数来实现的。
However, the traditional M-P neuron model which used connective weights and a nonlinear activation function simulate the operation of neural's synapse and soma respectively.
然而，传统神经元的M - P模型用连接权值和非线性激活函数分别模仿神经元的突触和细胞体的作用。
Conclusion the activation function of platelet in the acute phase of patients with ischemic stroke are increased, and it is associated with the volume of cerebral infarction.
结论缺血性脑卒中患者急性期血小板活化增强，且与脑梗死体积相关。
When the minimal eigenvalue of connection weights matrix is greater than the reciprocal of derivation of its neuron activation function, the network will be convergent in parallel update mode.
当网络连接权值矩阵的最小特征值大于激活函数导数的倒数时，网络并行收敛。
When the minimal eigenvalue of connection weights matrix is greater than the reciprocal of derivation of its neuron activation function, the network will be convergent in parallel update mode.
当网络连接权值矩阵的最小特征值大于激活函数导数的倒数时，网络并行收敛。
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