...反向传播神经网络 [gap=1721]sub-image segmentation, coefficients of variances, singular value decomposition, back-propagation neural networks ...
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在众多的神经网络模型中,反向传播神经网络(back propagation,BP)对非线性模型学习能力强,且具有较高的容错性能,克服了传统医学模型的不足,适合模式识别、疾病诊断等问题...
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误差反向传播神经网络 Error Back Propagation ; back propagation neural networks ; Back Propagation Network ; BPN
基于反向传播神经网络 back propagation neural network ; BPNN
和反向传播神经网络 Back-Propagation Neural Network
而反向传播神经网络 Back Propagation Neural Network
反向传播人工神经网络 back-propagation artificial neural Networks ; BP-ANN ; Back-Propagation Network
应用反向传播神经网络,解决了单峰测量方式的级次模糊问题。
The order ambiguity problem of single peak tracing method is solved through the application of BP neural networks.
探讨了利用反向传播神经网络和BP算法确定市场响应函数的方法。
This paper discusses backpropagation neural network model and BP algorithm to determine market response functions.
在标准反向传播神经网络算法的基础上,提出了一种改进的反向传播神经网络算法。
Based on the idea of standard back-propagation (BP) learning algorithm, an improved BP learning algorithm is presented.
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