In this paper, some intelligent optimization control technologies, such as pattern recognition, neural network and expert system, and their application on the process of oil making are discussed.
简单介绍了模式识别、神经网络和专家系统等智能优化技术及其在石油炼制过程中的应用。
Based on theories of Computer Graphics, Digital Image Processing, Pattern Recognition and combined characteristic of geological contour-map, we present one kind of intelligent tracking algorithm.
依据计算机图形学、数字图像处理和模式识别理论，并结合地质等值线图的特点，给出了一种图像智能跟踪算法。
Offline machine printed character recognition, an important branch of pattern recognition, is one of the vitalest parts of intelligent interface.
脱机印刷体文字识别技术是模式识别研究领域的一个重要分支，是计算机智能接口的重要组成部分。
The course is suitable for the master degree students working on intelligent information processing, pattern recognition, data mining and bioinformatics.
本科课程适合智能信息处理、模式识别、大规模数据挖掘、生物信息学等专业的硕士研究生。
Feature extraction and selection are important for recognition rate in intelligent recognition using technologies of digital image processing and pattern recognition.
在使用数字图像处理和模式识别技术进行智能识别过程中，特征提取和优选成为识别率问题的关键。
Image segmentation and object tracking are important research task in the field of computer vision, they are wildly used in areas such as pattern recognition, image editing, intelligent surveillance.
图像分割和目标跟踪技术是计算机视觉领域的重要的研究方向，在模式识别、图像编辑、智能监控等领域有着广泛的应用。
As far as the technique is concerned, the key scientific problem in the world is pattern recognition and the realization of shape intelligent control.
板形识别与板形控制技术的智能化实现是现代板带轧机控制中的世界前沿性研究课题。
In order to overcome the disadvantages of single model for wear pattern recognition of engine, a multi-intelligent model based on the data fusion technology was proposed.
针对单一的智能模型在发动机磨损模式识别中的局限性，提出了一种基于数据融合技术的多模型磨损模式识别方法。
Measuring the segmented image by statistic method to obtain morphological and location features of the target, which provides info for intelligent understanding and pattern recognition;
对分割的结果进行测量，应用图像统计学的方法获得了目标图像的一系列形状位置特征参数，为进一步的树木图像理解和模式识别做准备；
An intelligent pattern classifier with B-P neural network is used in recognition of those five kinds of AE signals successfully.
采用B - P型反向传播神经网络构成的智能化模式分类器，对此五类声发射信号进行识别，获得了满意的效果。
We successfully apply it on a simple pattern recognition problem and exhibit the potential of the artificial immune system on the intelligent information retrieval system.
最后展望了将人工免疫系统这一新的机器学习机制应用到智能化信息检索系统中的前景。
We successfully apply it on a simple pattern recognition problem and exhibit the potential of the artificial immune system on the intelligent information retrieval system.
最后展望了将人工免疫系统这一新的机器学习机制应用到智能化信息检索系统中的前景。
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