Throughout this book we both document the central principle that all behavior is an expression of neural activity and illustrate the insights into behavior that neural science provides.
通过这本书我们所描述了主要原理是，所有的行为都是神经活动的表达，这是从神经学角度对行为的理解。
This paper applies parallel tangents of nonlinear programming during the weights training of neural network and puts forward a neural network in view of fast learning algorithm.
因此，作者将非线性规划的平行切线算法用于神经网络的权值学习，提出了一种具有快速学习算法的神经网络。
But until now, most knowledges about the neural development are from model organisms, and little is known about the molecular mechanism of human neural development.
但是，目前对神经发育的了解主要是来源于某些模式生物，对人神经发育的分子机制了解尚处于初始阶段。
The study of the feedback neural network, the analysis of the work principle of Hopfield neural network lead to a neural network model with chaotic character .
对反馈神经网络进行了研究，在分析现有混沌神经网络的工作原理的基础上，提出一种新的混沌神经网络模型。
Based on the introduction to neural network principle, two methods of solving free train schedule and traffic flow prediction in transportation system with neural network are analyzed.
在简要介绍神经网络原理的基础上，分析了采用神经网络解决交通系统中空车调度及交通流预测的原理及方法。
Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
应用人工神经网络方法，以航磁数据为样本，建立了航磁信息关联的BP人工神经网络模型。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
Such configured artificial neural networks are knowledge-based fuzzy neural networks.
这样的网络构成了基于知识的模糊神经网络。
This system, possesses the structure of neural net and learning algorithm, addressed as fuzzy neural net FNN.
该系统具有神经网络的结构和学习算法，称模糊神经网络FNN。
The International Neural Network Society promotes the understanding of biological and artificial neural networks.
国际神经网路协会致力于加深对生物和人工神经网路的认识。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
The first part introduces the theory of artificial neural networks and the second part investigates the applications of artificial neural networks in the prediction of space environments.
第一是关于人工神经网络的理论，第二是研究人工神经网络在空间环境预测预报中的应用。
In this paper, neural network is studied and a fault diagnosis method based on neural network is presented.
本文通过对神经网络的研究，提出了基于神经网络的故障诊断方法。
When symptoms that represent faults are input to the trained neural network, the type of fault can be determined in the output of the neural network.
通过选择足够的故障样本来训练神经网络，将代表故障的信息输入训练好的神经网络后，由输出结果就可以判断发生的故障种类。
Focusing on neural weak signal detection, this thesis presents the principle and practicable method to utilize SR for neural weak signal detection.
本文以神经弱信号检测为研究对象，提出了利用随机共振原理进行神经弱信号检测的基本思想及实现方法。
After choosing the best type of neural network, which represents the switching lookup table, a suitable neural network configuration is deduced and then tested.
在选定了代表开关状态选择器的最优神经网络后，设计了神经网络结构图并进行了验证。
The topologic structure and learning algorithm of the rough neural network are given, and the approximation theorem of the rough neural network is presented.
给出了粗糙神经网络的拓朴结构和学习算法以及粗糙神经网络的逼近定理。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.
针对传统神经网络用于复杂过程系统的控制时难于收敛的问题，文章提出了基于混合建模的模块化的神经网络模型。
It makes a comparison of the performance differences of the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
It makes a comparison of the performance differences between the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
As the basic unit of Neural Network, Neural Controllers with different learning rules will result in different control effects for the learning process of synaptic weights.
作为神经网络控制的基本单元，采用不同学习规则的神经元控制器，对神经元的学习过程将产生不同的影响。
The learning process of a neural network is considered the process in which neural network variables are changed with a time series of input signals generated from a stochastic information source.
根据该理论，学习过程就是由随机信息源产生的输入信号驱动神经网络参数不断修改的过程；
Generation of in cells from non-neural lineages could have important implications for studies of neural development, neurological disease modelling and regenerative medicine.
从非神经系生成诱导性神经细胞可能对神经系统发育、神经系统疾病模型和再生医学的研究具有重要意义。
The system consists of graphic user's interface module, sample processing module, neural network structural module and neural network computing module.
该系统主要由以下模块构成：用户界面模块、网络模型模块、样本处理模块、神经网络计算模块以及神经网络训练结果显示模块。
The system consists of graphic user's interface module, sample processing module, neural network structural module and neural network computing module.
该系统主要由以下模块构成：用户界面模块、网络模型模块、样本处理模块、神经网络计算模块以及神经网络训练结果显示模块。
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