提出了凝固组织晶粒尺寸BP神经元模型。
BP neural network model was put forward for the grain size of solidified structure.
介绍了人工神经元模型与神经网络基本结构。
The artificial neuron model and backbone structure of neural network is introduced.
本文主要分析了一类离散神经元模型的动力学行为。
In this paper, we mainly discuss the dynamical behavior of a discrete neural model.
本文提出一种基于人工神经元模型的新方法对混合物进行定量分析。
A novel method which is based on the model of artificial neuron was proposed for quantitative analysis of mixtures.
PN神经元模型、lac神经网络及学习算法，都是本文首次提出的。
PN model, LAC neural network and its learning algorithm are all put forward first time in this thesis.
针对智能车辆油门控制系统，提出了一种单神经元模型参考自适应控制算法。
Focusing on the throttle control system of intelligent vehicle, a model reference adaptive SN-PID controller is presented.
通过研究神经元学习算法，提高神经元的学习效率，并且提出一种新的神经元模型。
The efficiency of artificial neuron is promoted and a new model of artificial is created by studying the learning algorithm.
该神经元模型构造的神经网络的动力学行为可以联系到一些神经生理现象和心理现象。
Some physiological and psychological phenomena are connected with the dynamic behaviors of the neural networks which are constructed with this neuronal model.
特征空间则模仿了灵长类动物的视觉神经元模型，以区域图像梯度直方图的方式建立。
Feature space imitates the model of biological complex neurons in primary visual cortex, and it is constructed through orientation histogram in feature's local area.
回顾了近年来几种主要混沌神经元模型及混沌神经网络的研究进展，介绍了其特点及主要的应用。
Reviews the research progress of chaotic neuron model and chaotic neural networks in recent years, introduces the characteristics and application of the chaotic neural networks.
本文给出了一种人工神经元模型，并对其进行了分析，且将所获得的结果与神经生理学的结果作了比较。
The paper gives and analyses an artificial neural net. The results obtained by analysis are compared with the ones derived in physiology.
本文简要介绍神经网络与神经计算机，神经元模型，层状网络结构，误差逆传播算法及其在地球物理反演中的应用。
This paper gave a brief review on neural nets and neural computers, neuron models, layered network structures, error back-propagation algorithm and its application to geophysical inversion.
本文详细介绍了HH模型的建模原理及其实验基础，以及另两种类似的反映神经元基本电生理活动和发放动力学特性的简单神经元模型。
We research the model theory and experimental support of HH model, in addition to two similar models which can describe the main characteristics of real neurons.
提出了CUSI神经元模型的一般形式，给出其学习算法。通过实例将CUSI神经元模型应用到地质数据的分析上，取得了比线性回归更好的效果。
The general form of CUSI neuron model and its learning algorithm are given, and apply it to geological data analysis and get the better effect than linear regression.
提出了CUSI神经元模型的一般形式，给出其学习算法。通过实例将CUSI神经元模型应用到地质数据的分析上，取得了比线性回归更好的效果。
The general form of CUSI neuron model and its learning algorithm are given, and apply it to geological data analysis and get the better effect than linear regression.
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