查询词典 NN

This paper presents a N-R method of acquiring multi-level reasoning production rules automatically based on NN, so as to resolve the bottle neckproblem in building a knowledge - based system-knowledge acquisition. This methodadopts a characteristic NN structure model and corresponding learning algorithm, so thatN -R method can fix the number of hidden nodes dynamically and form new conceptswhich are not defined in the sample set in the course of learning. Having been trained, NNis transforme...

本文为解决知识系统构造过程中的瓶颈问题──知识获取，提出了一种基于神经网络NN的自动获取多级推理产生式规则的N－R方法，该方法采用了特有的NN结构模型和相应的学习算法，使得NN在学习过程中动态确定隐层节点数的同时，也产生了样例集中没有定义的新概念，学习后的NN能用本文提出的转换算法转换成推理网络，最终方便地得到产生式规则集

The control effects were above 66%. According morphologic, physiological and biochemical characteries, strain YN-55, NN-3, YN-4 and YN-10 were identified.Some conditions for culture YN-55, NN-3, YN-4 and YN-10 were studied in shake flask (100ml in 150ml flask).

本文根据形态特征和生理生化性状，初步鉴定内生细菌YN-55为假单胞杆菌属铜绿假单胞菌，NN-3为芽孢杆菌属枯草芽孢杆菌，YN-4、YN-10为芽孢杆菌属凝结芽孢杆菌。

A flight controller structure based on RBF NN was designed,and its control law and tunned law for RBF NN parameters.

设计了一种径向基神经网络飞行控制器结构，并给出了相应的控制律和参数调节律。

In the application of NN's to the feedback linearization of nonlinear systems, how to use NN's to approximate the general controller structure is also a problem by many researchers.

现有的解决方法为保证系统的局部和全局稳定性，都要求有一个附加条件。这里提出的解决方法是用神经网络逼近，而不是，从而避免了许多复杂性。

We utilise the date being gained from 5# BF of JinXi Iron and Steel Co.to train the network、to simulate forecasting and control.We also analysed predicting results and analysed the qualititive and quantitative relationship between controlling parameter or medium parameter and silicon content of heat metal.On base of these,we form some control rules and set up a whole silicon content of heat metal prediction and control NN model. The model use fixed method and amendable method to simulate prediction.

利用津西钢铁集团公司5#高炉的实际生产数据对网络进行系统学习、模拟预测和控制，进一步分析预测结果，分析可控参数及中间参数与铁水硅含量的定性及定量关系、制定控制规则，从而构建出完整的铁水硅含量预测与控制的神经网络模型。

The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics.

这本书还介绍三个案例神经网络的研究：为基础的控制，金融时间序列分析和计算机图形。

Since the structure self-organization and self-learning abilities of GFNN, it is different from the universal approximation theorem of FLS and BP theorem of NN.

由于GFNN的结构自组织和参数自学习能力，使得它与模糊逻辑系统中的万能逼近定理以及人工神经网络的BP逼近定理不同，GFNN不再只是一个存在性定理，它给出了GFNN的实现过程。

One of the hot research issues of NN is to research into its capability of non-linear approximation.

神经网络的非线性逼近能力的研究是神经网络研究中的一个热点问题。

The control architecture and associated error equation are built for adaptive output feedback control. Then, a stable weight adjust rule for the no-line NN is derived by Lyapunov theory, thus assuring the stability of the closed-loop system.

NN的在线补偿规律由Lyapunov稳定性方法得到，保证了系统的稳定性，可以有效补偿模型参数不确定和未建模动态引起的控制偏差。

We firstly summarize the NN system modeling methods and the popular optimization algorithms, and point out the deficiencies, the limitation of noise cancellation modeling and the need of human intelligence participation, in our former optimization work after analysis. An abstract problem is extracted. It is to find out control variant that makes system output optimized using the data comprising a sample set with N x samples and their corresponding y, and it does not explore given system and achieves full automatic computation procedure. Next we propose a multi-variant controlled system optimization method utilizing CASSANDRA-I small type neural computer and program its application software. Moreover systematic experiments are made to demonstrate the method's validity, ability of noisy samples disposal and practical application.

我们总结了神经网络系统建模方法以及得到广泛采用的优化算法，并分析指出我们前阶段的优化工作中存在的去噪声建模有局限性和计算过程需人干预的不足，在此基础上把问题抽象为：已从系统获得含N个控制量样本的样本集S以及每个样本对应的系统输出，如何依据这些数据求出一个使系统输出y得到优化的控制量x，而不研究具体系统，实现不需要人智能参与自动完成的计算过程；提出应用人工神经网络硬件系统——CASSANDRA-I小型神经计算机的多变量控制系统优化方法，设计完成了其应用软件；并进行系统的实验工作，验证算法的有效性以及此方法处理带噪声样本和实际应用能力。

In contrast to the ubiquitous rising-sun-with-rays military flag of the Japanese, Chinese banners and ensigns feature a range of designs.

与遍地都是的太阳军旗不同，中国人的旗帜和徽章设计得各式各样。

From their small corner of Feng's Guangzhou headquarters -- a jumble of pink leashes, squeezable rubber steaks, and plastic doggy Santas for Fido's stocking -- Soleil's designers come up with at least five new products a month.

从Feng 设在广州总部的产品展示柜台上可以看到，Soleil的设计师每月至少设计出5件新产品。