基于高维空间划分的原理，提出了一种非线性神经元c C模型和基于CC模型的神经网络的构造算法。
On the basis of the space partition in high_dimension space, the paper has put forward a new nonlinear neural model - CC model and the construct algorithm of neural networks based on the CC model.
李耀堂，张威虎，张璞借助于神经网络的思想，提出求解Markowitz模型的神经网络算法，证明了其解的存在性、稳定性和有效性。
A neural networks algorithm, solving the model of Markowitz, is proposed by means of the neural networks ideas, and the existence and efficiency of the results is proved theoretically .
因此，他们的研究暗示了一种不同的特征模型，该模型被认为是用来操纵内部神经网络的。
Their research thus implies a different character model, which is supposed to manipulate the neural networks inside.
现在的大脑模型仅仅能够模拟拥有数千个神经元细胞的神经网络，但是这种状况正迅速被改写。
Brain modelers have so far been limited to modeling small networks with only a few thousand neurons, but this is rapidly changing.
在这个例子中，对于实现控制神经网络而言，简化可以是实用的，尤其是当它们被作为模型来使用时。
Simplifications can be useful, especially when they serve as a model, in this case, for implementing cybernetic neural nets.
神经网络：无论什么传感器都会被作为探测输入，输出则是同步按键，这是一个直接并且简单的模型。
Neural-Networks: This would have been a very simple and straightforward model where the inputs are whatever sensors we give the probes, and the outputs are key-presses.
尽管这是个生物行为的简化描述。但同样可以充分有力地被看作是神经网络的模型。
Even though this picture is a simplification of the biological facts, it is sufficiently powerful to serve as a model for the neural net.
讨论、比较了基于神经网络和基于时间序列的预测模型。
It discusses and compares the forecasting models using neural networks and using time series.
Bayesian网络或神经网络等技术使用表达能力非常强的模型，力求生成无偏向的分类器来“描述”文档集。
Techniques such as Bayesian networks or neural networks use highly expressive models, which try to produce a non-biased classifier in order to "describe" a corpus of documents.
结果：对遗传神经网络模型所预测的最佳分离条件进行实验，获得了比较满意的分离结果。
Results: Through the experiment with the optimized separation predicted by Genetic Neural Networks model, satisfied results of separation can be obtained.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
反演使用的模拟数据是用IEM模型得到的，并用来训练神经网络。
Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.
本文建立了求解并联机构动力学方程的模糊神经网络模型。
The fuzzy neural network model for dynamic equation of the PMT is established.
研究了一种基于投影算子的神经网络模型。
The recurrent neural network model based on projective operator is studied.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
这样设置便可以创建不包含隐藏层的神经网络模型，从而使该神经网络模型与逻辑回归等效。
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
利用软测量的思想，采用神经网络建立软测量模型和小波分析进行数据处理，以克服传统方法的不足，提高出口带钢厚度预测的精度。
The idea of soft-measurement is used in our work and neural network and wavelet transform are adopted to overcome deficiency of traditional method and improve forecast accuracy of exit thickness.
首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；
First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.
本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
采用基于灵敏度分析的BP神经网络模型作为基分类器，进一步剔除冗余基因。
BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
泛函网络是类似于人工神经网络的新型网络模型，是泛函方程的网络表达形式。
Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation.
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。
Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
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。
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 .
最后给出了神经网络模型分类性能的测试结果。
Finally, testing results of this model's sorting performance are presented.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
并对外汇汇率数据进行了模型构造和预测。 结果表明，组合神经网络在模型的拟合精度和预测准确性方面都有提高。
Through constructing models and making predictions for the currency exchange rate data, we can see that the predictions of combined neural networks are improved.
并对外汇汇率数据进行了模型构造和预测。 结果表明，组合神经网络在模型的拟合精度和预测准确性方面都有提高。
Through constructing models and making predictions for the currency exchange rate data, we can see that the predictions of combined neural networks are improved.
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