要制造高质量的微电子神经网络，研究带有延时的神经动力行为是特别重要的。
Study of neural dynamics with consideration of delays becomes particularly important in manufacturing high quality microelectronic neural networks.
可以看到在较好的选取学习样本情况下，神经网络技术在电子透镜的逆设计中有着明显的优越性。
In the condition of selecting the learning samples properly, the artificial neural network has the obvious advantage in the inverse designing the electronic lens.
提出并实现了两种类型的模糊神经网络用于电子鼻系统的定量识别。
Two kinds of fuzzy neural network models' application to the quantitative analysis in an electronic nose system are put forward and realized.
以故障诊断的理论和方法为基础，综合运用人工智能、模糊理论和神经网络理论，对复杂电子装备的故障诊断问题进行了研究。
The paper studies complex electric equipment fault diagnosis based on the theory and method of fault diagnosis by applying the theory of artificial intelligent, fuzzy theory and neural network.
该电子鼻主要由一组厚膜金属氧化锡气体传感器阵列和RBF神经网络组成。
It mainly consists of a thick tin oxide gas sensor array and radial basis function(RBF) neural network.
作为这种努力的一部分，将由软件来完成的人造神经网络与用于原型电子鼻中的化学传感器阵列和分光计结合在一起。
As part of this effort, artificial neural networks, implemented in software are being combined with chemical sensor arrays and spectrometers for use in prototype electronic noses.
黄德双。神经网络模式识别系统理论。北京：电子工业出版社，1996。
Huang, Deshuang. Theory of neuron network mode recognition system. Beijing: Publishing House of Electronics Industry, 1996.
本文以电子战为背景，在雷达接收机中引入了小波神经网络，研究了系统的结构及自适应均衡算法。
A new structure of radar receiving equipment based on wavelet neural net works has been presented in this paper. Andthe adaptive equalization algorithm has been researched.
叙述了粗糙集-神经网络系统诊断电力电子电路的过程。
The diagnosing process of rough set-neural network system is introduced.
利用人工神经网络的智能识别功能，建立基于神经网络的电子评标方法。
By intelligence distinguishing function of manpower neural network, the neural network-based electronic tender evaluation method was established.
本文研究了电子和电路系统存在的混沌现象的神经网络控制问题，其中包括两个方面的内容：混沌系统的神经网络辨识技术和基于神经网络的混沌控制。
In this paper, research concentrates on the neural network control of chaotic systems in electronics and circuits systems, including two fields: chaotic systems identification and chaotic control.
生物电子学采用了一些方法，思想和技术，如生物电磁，仪器仪表，神经网络，机器人和传感器技术。
Bioelectronics uses a number of methods, ideas, and techniques, such as bioelectromagnetics, instrumentation, neural networks, robotics, and sensor technologies.
人工神经网络是一门崭新的信息处理科学，它可以说是从常规的信息处理到实现电子人脑的一种中间过渡。
Artificial Neural Network(ANN) is a new science of information processing. It acts as a transition from conventional information processing to human brain.
张航。基于硬件实现BP神经网络的电子鼻设计[d]。成都：西南交通大学，2015。
Zhang H. Design of electronic nose based on hardware implementation of BP neural network [d]. Chengdu: Southwest Jiaotong University, 2015.
仿真验证试验结果表明所设计的基于人工神经网络的电力电子逆变电路的故障诊断系统是可行的。
The well-designed training set was verified by simulation test. The simulation result proved that the model was correct and the diagnosis method was feasible.
仿真验证试验结果表明所设计的基于人工神经网络的电力电子逆变电路的故障诊断系统是可行的。
The well-designed training set was verified by simulation test. The simulation result proved that the model was correct and the diagnosis method was feasible.
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