事实上,您无法对网络结构进行任何控制,但是您有能力确保分布式组件可以有效地相互通信。
You have virtually no control over the network structure, but you do have the ability and control to ensure that the distributed components can communicate with each other effectively.
设计了预测回采巷道锚杆支护参数的神经网络结构,并根据BP算法编制了软件。实际应用结果表明这一确定锚杆支护参数的方法是有效的。
A bolt supporting parameter selection neural network construction has been developed, the software is programmed based on BP algorithm. The practice result shows that this method is effective.
结果表明,与传统的基于误差平方和准则的学习算法相比,采用模糊学习算法可以大大简化网络结构,有效提高模拟精度和效率。
The modeling results showed that the introduction of fuzzy learning method can not only simplify the structure of neural network, but also effectively improve the modeling accuracy and efficiency.
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