基于Elman神经网络的居家智能服务系统决策模块的设计

发布时间：2018-07-22 10:46

【摘要】：随着科学技术的高速发展和社会信息化进程的不断深入,信息通信技术、计算机技术以及物联网技术等被广泛应用到人们生活的各个领域,大大提升了人们的生活品质。居家环境作为人们日常生活息息相关的环境之一,越来越多的人们进一步追求其便捷性、安全性、智能性、舒适性和可控性。当前市场上面向居家环境的系统在智能化方面还非常欠缺,用户使用起来有诸多不便,系统也不能实时合理的向用户提供服务。为了满足人们的迫切需求,改善居家环境,实现居家环境的智能化必须设计出更加适用的居家智能服务型的系统,然而在整个居家智能服务系统中决策子系统的研究与设计非常重要,它是实现系统智能性和舒适性的关键环节。本文首先调研了当前居家智能决策系统的研究现状,概括说明了本文的研究思路和研究方法。借鉴现有的居家智能系统,本文对整个居家智能服务系统的特征和整体架构做出综合阐述,突显出智能决策在整个居家智能系统的关键作用,进而介绍了智能决策系统中的相关技术。其次,对智能决策模块做出总体的结构设计和外围电路设计,并进行详细的功能分析。在此基础上,介绍神经网络模型并进行智能决策的适用性分析,通过对比选择Elman神经网络,将其应用于居家智能决策的系统建模并进行决策算法设计。最后,针对整个居家环境下的智能决策系统进行平台搭建,确定智能决策的评估标准与方法,根据收集的数据做出相应的模型仿真与系统调试,验证居家智能决策的准确性与可行性。
[Abstract]:With the rapid development of science and technology and the deepening of the social information process, information and communication technology, computer technology and Internet of things technology are widely used in all fields of people's life, greatly improving the quality of life of people. As one of the environment closely related to people's daily life, more and more people pursue its convenience, security, intelligence, comfort and controllability. At present, the system facing home environment in the market is still lack of intelligence, users are inconvenient to use, and the system can not provide service to users in real time and reasonable. In order to meet the urgent needs of people, improve the home environment, and realize the intelligent home environment, we must design a more suitable home intelligent service system. However, the research and design of decision subsystem is very important in the whole home intelligent service system, which is the key link to realize the intelligence and comfort of the system. In this paper, the current research status of home intelligent decision system is investigated, and the research ideas and methods are summarized. Based on the existing home intelligent system, this paper makes a comprehensive description of the characteristics and overall framework of the whole home intelligent service system, which highlights the key role of intelligent decision-making in the whole home intelligent system. Then the related technologies in the intelligent decision system are introduced. Secondly, the overall structure design and peripheral circuit design of the intelligent decision module are made, and the detailed functional analysis is carried out. On this basis, the neural network model is introduced and the applicability of intelligent decision is analyzed. Elman neural network is compared and applied to the system modeling of home intelligent decision and the decision algorithm is designed. Finally, the platform is built for the intelligent decision system in the whole home environment, the evaluation criteria and methods of intelligent decision are determined, and the corresponding model simulation and system debugging are made according to the collected data. Verify the accuracy and feasibility of home intelligent decision.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP183;TU855

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