During training, a neural net inputs.
在培训过程中，神经网络输入。
This would be accomplished by training a neural net to make two cuts.
把神经网络培训成能实现两个切割就可完成这种工作。
A neural net approach to computation of two dimensional image moments is presented.
提出了一种计算二维图象矩的神经网络方法。
Neural net predictive control is an important branch of the intelligent predictive method.
神经网络预测控制是智能预测控制的一个重要组成部分。
The optimum method of binder force based on CAE and Neural Net Method is provided in the analysis.
提出了基于CAE和神经网络的压边力优化新方法。
Methods and steps using the MATLAB neural net tool kit to design BP network are introduced in detail.
文章详细论述了利用MATLAB神经网络工具箱设计BP网络的方法和步骤。
A neural net that USES this rule is known as a perceptron, and this rule is called the perceptron learning rule.
一个使用这个规则的神经网络称为感知器，并且这个规则被称为感知器学习规则。
This paper proposes an efficient algorithm for constructing decision tree and then mapping it to neural net.
本文提出一个有效的算法，先构造决策树，然后将构造的决策树转换为神经网。
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。
Neural net Gabriel Pato, a Brazilian biologist, carries on his body the principle that the brain is a network.
巴西生物学家加布里埃尔·帕托(Gabriel Pato)以自己的身体诠释了大脑即网络的原理。
The nonlinear dynamic inversion controller based on online neural net is adopted for the attitude control loop.
基本姿态控制器采用基于在线神经网络的非线性动态逆控制器。
Based on above work, in the third part, actualize fuzzy rules automatic generation applying fuzzy RBF neural net.
第三部分，在前述工作基础上，用模糊rbf神经网络实现模糊规则的自动获取。
Expert system and artificial neural net are main intelligence diagnosis ways for rolling milling hydraulics failures.
专家系统与神经网络是轧机液压故障智能诊断的主要途径。
This paper presents a calculation model based on BP neural net to account the weight of a feature item in a document.
本文根据BP神经网络的函数逼近功能，针对文档特征项在文档中的权重，提出了一种基于BP神经网络的网络计算模型。
A new knowledge representation method in electrical machine design based on artificial neural net - works is presented.
提出了一种新的、基于人工神经网的电机设计知识表示方法。
The neural net uses these to modify its weights, and it aims to match its classifications with the targets in the training set.
神经网络用这些来调整权系数，其目的使培训中的目标与其分类相匹配。
The finite element model correction of large space truss is done by identifying its joint fixity factor based on neural net.
本文提出了依据神经网络方法完成大型空间网架结构节点固结系数的识别，实现空间网架结构有限元模型修正的方法。
This thesis uses the Artificial Neural Net technique to empirically analyze the expected rate of return of China stock markets.
本论文采用人工神经网络技术对中国股票市场的预期收益率进行实证分析。
We present a new neural net based self tuning control which can effectively control complicated multivariable nonlinear systems.
建立了一种新型的神经网络自校正预测控制器，可有效地控制复杂的多变量非线性系统。
This paper introduces Neural net to the fields of air-materials demands analysis, and applies Back Propagation network to forecast.
本文将神经网络引入到航材需求分析领域中，应用误差反向传播网络建立模型进行预测，并对模型结果进行了分析。
Even though this picture is a simplification of the biological facts, it is sufficiently powerful to serve as a model for the neural net.
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。
Training a multilayer neural net by BP algorithm is slow and it is difficult to choose the number of hidden units and layers in advance.
使用BP算法训练多层网络的速度很慢而且事先难于确定隐节点和隐层的适当数目。
It is suggested that statistical pattern recognition and neural net technique should be applied to achieve image segmentation more accurately.
指出了要更加准确的对细胞图像进行分割，需要采用统计模式法和神经网络法技术等方法。
The neural net is suited for computing two dimensional image moments in real time and it is further applicable to image or object recognition.
该网络适合于实时计算二维图象矩，可进一步用于图象或目标识别。
Reducing the iterations as low as 10 showed proportional speedups (but worthless neural net recognition), as did intermediate numbers of iterations.
将迭代次数降到10，加速的倍数也成比例降低（但对神经网络的识别能力无效），迭代的中间数值也会如此变化。
BP algorithm has aptitude and auto-learning characters, so my paper choose BP neural net algorithm to set up mail classification and recognition model.
BP算法具有智能性和自学习性的特点，因此，本文提出采用BP神经网络来构造邮件分类识别器。
BP neural net model is constructed to map the relationship of process variables and physical properties of products in fluidized bed spray granulation.
建立了反映流化床喷雾造粒过程参量同产品物性之间映射关系的BP神经网络模型。
The combined use of fuzzy mathematics, neural net method and gray system theory in the selection of mining method for Jinshan gold mine was a new trial.
将模糊数学、神经网络方法及灰色系统理论有机地结合起来，应用于金山金矿采矿方法选择中是一次新的尝试。
The example indicates that the optimization of artificial neural net work plays an important role in reducing manufacturing cost and promoting productivity.
通过实例表明，用人工神经网络优化方法可降低加工成本和提高劳动生产率。
The example indicates that the optimization of artificial neural net work plays an important role in reducing manufacturing cost and promoting productivity.
通过实例表明，用人工神经网络优化方法可降低加工成本和提高劳动生产率。
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