本文采用一种新型的三层神经网络，即隐蔽层具有知识神经元的神经网络(NNKBN)模拟带状线电路中的十字交越不连续性。
A novel three-layer neural network with knowledge-based neurons (NNKBN) in hidden layer has been applied to model the crossover discontinuities in stripline circuits.
我的知识、技能和记忆根植在由神经递质集中和神经元间的连接组成的宽广支架上，不能够被迅速取得或传送。
My knowledge, skills and memories are embedded in a vast pattern of neurotransmitter concentrations and interneuronal connections and cannot be quickly accessed or transmitted.
由此，自然语言理解过程就是嵌套本体知识的神经元通过相互通讯和协商，达成一定的协议，并产生相应动作的过程。
Thereby, the Natural Language Understanding is the process that the corresponding neurons binding correlative Concept Ontology knowledge manage to agreement via mutual operation and negotiation.
二进神经网络的知识提取需要了解每个神经元的逻辑意义。
It is necessary to know the logical meaning of every binary neuron when extracting knowledge from a binary neural network.
采用过程神经元网络提取手写体汉字各类型笔形，统计各类型笔形和相交点的数量，从而建立手写体汉字特征知识的数据结构表。
The style, number and number of joint and crossover of complex strokes were accumulated, and a kind of characteristic knowledge data-base table of handwritten Chinese characters was constructed.
神经元网络启发式的并行、分布特征和可学习性为专家系统的知识表达和获取、不确定性推理提供了新的途径。
The parallelism, distribution and capability of learning of neural net heuristics provide a new way for knowledge acquisition, knowledge representation and uncertainty reasoning in expert systems.
分析表明这种智能神经元较普通神经元具有更高的知识存储能力，从而使整个神经网络的信息处理能力得到大大增强。
It is proved that the intelligent neuron has greater knowledge storing capacity than normal neuron and can strengthen the information processing capability of neural network.
它的基本思想是仿照人脑神经元的特征，把离散的经验学习与创造性知识构造成网络形式，形成一种拟人化网络知识表达框架。
The cardinal principle is follow the features of human brain neural units, combine the network with discrete experience and special knowledge, form the humanizing knowledge express frame.
另一种是含有知识人工神经元的人工神经网络(NNKBN)，其知识人工神经元的活化函数是由扩展的经验公式构成。
The other is the neural network with knowledge-based neurons (NNKBN) where extended prior knowledge analytic formulas work as activation functions of the neurons.
第一部分介绍神经生物学的基础知识：神经系统中两类主要细胞---神经元和胶质细胞的形态结构特征；
The first is to introduce the basic concept of neurobiology, including the structure and morphology of two major neuronal cells, neurons and glia;
研究了如何利用神经元网络的生成能力来获取新的不确定性规则，使知识系统具有知识自动获取能力，并使原有规则系统的脆弱性得以改善。
A method of acquiring new uncertainty rules by the generating ability of the neural network is also discussed. Hence the knowledge system is enabled to acquire knowledge automatically and...
研究了如何利用神经元网络的生成能力来获取新的不确定性规则，使知识系统具有知识自动获取能力，并使原有规则系统的脆弱性得以改善。
A method of acquiring new uncertainty rules by the generating ability of the neural network is also discussed. Hence the knowledge system is enabled to acquire knowledge automatically and...
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