在泵系统故障诊断与监测中的应用表明，混合型神经网络能可靠地进行水泵机组故障模式的识别。
Its application to fault diagnosis and state monitoring for a pump system shows that the hybrid neural network may recognize the fault modes in pump units reliably.
针对传统专家系统和神经网络的各自特点，将两者有机结合，构造了一种基于神经网络的混合型故障诊断专家系统。
According to the characters of traditional expert system and neural network, a neutral - network - based mixed fault diagnosis expert system was designed.
基于集成神经网络故障诊断理论，提出了一种混合型集成神经网络故障诊断方法，阐述了其结构和算法。
Based on the theory of integrated neural network, a hybrid integrated NN fault detection method is introduced in this paper. Its structure and arithmetic are fully discussed.
把填充函数法与BP算法相结合，提出一种训练前向神经网络的混合型全局优化新算法。
This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.
从网络结构上看，它是一种混合型的神经网络，由下面三层的前馈网络和上层的反馈网络组成。
The network structure of PBCA is a mixed structure composed of feed-forward network and feedback network.
从网络结构上看，它是一种混合型的神经网络，由下面三层的前馈网络和上层的反馈网络组成。
The network structure of PBCA is a mixed structure composed of feed-forward network and feedback network.
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