实现科技信息服务实践的平台及关键技术研究  

Research on the platform and key technology to realize the practice of scientific and technological information service

作　　者：陈杰 CHEN Jie(Chengde Productivity Promotion Center,Chengde 067000,Hebei Province,China)

机构地区：[1]承德市生产力促进中心,河北承德067000

出　　处：《信息技术》2022年第8期131-136,142,共7页Information Technology

摘　　要：针对现有科技信息服务平台中信息获取不准确、服务系统不完善等问题,引入人工智能技术,并设计出改进后的混沌粒子群算法进行人工智能神经网络训练,将变量从混沌空间变换到解空间,然后进行搜索,提高了计算速率,降低了算法陷入局部极值的概率。在存在信号干扰的情况下,能够快速、准确地估计信息的距离和方位,省去了二维谱峰的搜索,提高了计算效率。实验结果表明,该研究采用人工智能技术后,计算速率提高了两倍,大大降低了误差率。Based on the problems such as inaccurate information acquisition and imperfect service system in the existing technology and technology service platform,this study introduces artificial intelligence technology,and designs the improved chaotic particle group algorithm for artificial intelligence neural network training,which transforms variables from chaotic space to solution space to search,improving the calculation rate and reducing the probability that the algorithm falls into local extreme values.In the case of signal interference,the distance and direction of information can be estimated quickly and accurately,which saves the search of two-dimensional spectral peak and improves the calculation efficiency.The experiment results show that the calculation rate is increased by two times and the error rate is greatly reduced after the artificial intelligence technology is used in this study.

关 键 词：人工智能 ESPRIT算法 信息服务系统 混沌粒子群算法 科技信息 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]