目标识别系统 meaning in English
target identification system
Examples
- The key algorithms and technologies in the system realization are studied and discussed from the theory and practice , the aim of the research is the designing and realizing the neural networks target system based on many cpu . this thesis mainly consists of the following parts
论文以基于多cpu神经网络目标识别系统的设计与实现为宗旨，在理论和实践两个方面研究和探讨了系统实现过程中所涉及的关键算法和关键技术。 - This article introduces the developing history and the current situation of the automatic goal discern , and on the basis of structure of the parallel computer and neural network knowledge , it analyses the hardware and software engineering foundation that realized the real - time goal recognition system
介绍了自动目标识别的发展历史和现状，在并行计算机结构和神经网络知识的基础上，分析了实现实时目标识别系统的硬件和软件技术基础。 - The study provides theoretical basis for selecting various sensors and effectively fusing information from them in multi - sensor target identification systems . furthemore , the recurrence formula of fusion identification can reduce computational load , enhance adjustability of distributed multi - sensor identification systems , and they can be used in the case of real time . these results have great value for solve problem of military target identification
这些研究是多传感器目标识别系统中不同类传感器的选择及其信息的有效d - s融合的理论依据，且融合识别的递推式不仅可减少计算的复杂度，增强多传感器分布识别的可调性，而且可用作多传感器实时融合识别的递推式，这对解决军事等领域的目标识别问题有重要价值。 - We have designed the hardware of target identity system with tms320vc5410 fixed - point dsp , completed data acquisition using a / d max 197 , successed in communication with computers by max3111 . it is comprised that an independent data signal processing and control system based on 5410
我们选用tms320vc5410定点dsp芯片来进行目标识别系统的硬件设计，使用max197模数转换芯片完成了数据采集的任务，使用max3111实现了与计算机之间的数据通信，以5410为核心构成了一个自封闭式的数字信号处理与控制系统。 - In this dissertation , base on the review and analysis of current mainstream algorithms and techniques , we build up whole rtr system , and study some efficient recognition methods for different radar characters . the major research work and contributions in this dissertation are summarized as below : 1 . summarized current popular pattern recognition methods , this dissertation researched in the algorithms and performances of nearest neighbor ( nn ) classifier , multi - layer perceptron and rbfn ( radial basis function network )
本文在总结当前主流雷达目标识别算法的基础上,建立起基于gbr的雷达目标识别系统,并且对弹道导弹的各种特识别方法进行了研究,主要进行的工作和创新有: 1 .研究和总结了当前常用的分类识别方法,针对雷达目标识别的特点,对近邻分类器、多层感知器和径向基函数网络( rbfn )分类器的算法和性能进行了研究。