文章提出了一种平移、旋转及尺度不变光学神经网络识别系统方案。
A shift, rotation and scale invariant neural network is proposed in this paper.
网站开辟的栏目有：木材学教学平台、双语教学、教学资源库、木材网络标本馆、木材网络识别系统、木材网络实验室、木文化及木化石等。
Wood were as follows, wood science teaching, bilingual teaching, teaching resource, wood net specimen room, wood net identifying system, wood net laboratory, wood fossil and wood culture.
这方面的一个例子是，当数字识别系统工作时会创建一个专门的神经网络，用它来模拟眼睛感知数据的方法。
One example of this when working with digit recognition would be to create a specialized neural network that was designed to mimic the way the eye perceives data.
他们随机收集了在网络中出名的25位男性的20张相片，并将照片传入与一个数据库中含有31,000张名人面容的人脸识别系统中。
They randomly gathered 20 images of 25 male celebrities on the Internet and fed the photos into a face recognition system that had a database of 31-thousand photos of famous faces.
后者包括一下事物，例如植入环境的传感器的网络坐标，以及便携式的电脑设备和带有时间的地理识别系统。
The later includes such things as coordinating webs of sensors embedded in the environment as well as wearable computing and real-time geographic systems.
应用VB和MATLAB编写了计算机程序，形成了基于罐车PC A特征和BP神经网络算法的识别系统。
Computer program is written via VB and MATLAB and the recognize system of tanker car is accomplished based on PCA characteristic pick-up and BP nerve network arithmetic.
建立了一种基于自组织神经网络的语音识别系统。
A speech recognition method, which is based on self-organizing neural networks is presented.
设计了一种基于BP网络和多传感器数据融合的图像识别系统。
This paper designs an image recognition system based on BP neural network and multi-sensor data fusion.
本课题针对联想记忆网络形状识别系统应用中出现的若干关键问题进行了深入研究。
In this paper, we discussed some key application problems of shape recognition system based on associative memory neural network.
分析比较了当前研究织物风格的几种重要方法：基于神经网络的织物风格识别系统、灰度关联分析法和物理仿真技术等。
The current methods for fabric handling research were introduced, such as identification systems based on artificial neural networks, the grey relational analysis and physical emulation and so on.
人工免疫网络记忆分类器和人工免疫识别系统是两种人工免疫分类方法。
Artificial Immune Network Memory Classifier(AINMC)and Artificial Immune Recognition System(AIRS)are two kinds of classifier based on artificial immune systems.
本文描述了采用这种网络模型实现的印刷体汉字识别系统。
The paper describes a printed Chinese character recognition system by such network.
采用一种基于免疫算法和最小二乘法的两级学习方法设计径向基函数（RBF）网络，并将其应用于雷达天线扫描方式识别系统。
A hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system.
论文主要讨论如何结合结构方法和神经网络的技术，来实现哈萨克语手写文字识别系统的实现。
The main theme of this paper is the automatic recognition of hand-written kazakh characters using artificial neural networks in addition to conventional techniques.
研究适用于隐马尔可夫模型(HMM)结合多层感知器(mlp)的小词汇量混合语音识别系统的一种简化神经网络结构。
It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model (HMM) with multi-layer perceptron (MLP).
并利用训练后得到的网络作为分类器设计并实现了一种多级策略的汉字识别系统。
Finallly taking advantage of the trained network model as a classifier, we implemented a multi-level strategy Chinese character recognition system.
黄德双。神经网络模式识别系统理论。北京：电子工业出版社，1996。
Huang, Deshuang. Theory of neuron network mode recognition system. Beijing: Publishing House of Electronics Industry, 1996.
改进型BP神经网络分类识别系统在遥感图像的自动分类识别上有广阔的应用前景。
The modified BP Nerve Network Classify and Identify System has a very wide application foreground in TM images.
在综合测试系统的基础上实现网络化人脸识别系统，为商业应用提供网络人脸识别原型系统。
Based on the experiment system, a network face recognition system is implemented. It provides a product prototype for further use.
介绍了一种基于并行神经网络的汉字识别系统。
Introduces an Chinese character recognizing system based on parallel neural network.
本文建立了一个集成型神经网络手写体数字识别系统，系统主要由两部分构成，即：学习部分和识别部分。
In this paper, a handwritten digit recognition system based on integrated neural network is set up. The system was consisted of two parts: Learning part, recognition part.
本文提出并实现了一种基于人工神经元网络理论的通信网信号识别系统的研制方案。
This paper proposes and investigates the approach to distinguish signals in communication networks based on artificial neural networks.
针对传统的数字识别方法的复杂性和局限性，提出了基于BP神经网络的手写体数字识别系统。
To counter the complexity and limitation of traditional digital distinguish methods, Script Digital Distinguish System based on BP Neural Network is proposed.
本文从BP网络调制识别系统入手，重点研究了最优BP网络的实现。
The system of BP network mode recognition has been proceed in this text, Key research on optimum BP network has been realized here.
并在此基础上设计一个基于BP神经网络的数字识别系统，此系统可以作为核心部分应用到诸如票据等数字识别中去。
According to this algorithm, a numerical recognition system based on BP neural network was designed. This system could be put into the application of numerical recognition such as bill system.
最后介绍了根据这一模型所设计的一个汉语语音识别系统，试验表明该网络在汉语语音识别方面具有较大的潜力。
Based on the new neural network, a Chinese speech recognition system is established and has achieved high performance in experiments.
根据机器人视觉识别系统所要完成的具体识别任务，构建一个基于神经网络的视觉识别系统。
According to the specific identification task that robot vision recognition system will accomplish, the thesis builds a neural network based visual recognition system.
基于粗集（RS）理论和神经网络的车辆牌照识别系统由车牌定位和字符识别两部分组成。
Recognition system of license plate based on rough set and neural network is consists of 2 parts for orientation and character recognition of license plate.
该系统可支持多达12台摄像机创建综合网络报警识别系统。
It can support up to 12 cameras to create a comprehensive IP-based video alarm verification solution.
该系统可支持多达12台摄像机创建综合网络报警识别系统。
It can support up to 12 cameras to create a comprehensive IP-based video alarm verification solution.
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