Application study of som artificial neural net in airliner fault diagnosis 人工神经网络在客机零部件故障诊断中的应用研究
Predicting groundwater elevation of dashiban landslide area based on artificial neural net 的大石板滑坡区地下水位非线性预测
Research in cemented carbide cutting expert system based on artificial neural net 基于人工神经网络的硬质合金切削专家系统的研究
Predictive model based on artificial neural net for fatigue performances of prior-corroded aluminum alloys 基于人工神经网络的预腐蚀铝合金疲劳性能预测
Simulation of performance based on artificial neural net for air-source heat pump water heater chillers 基于人工神经网络的空气源热泵冷热水机组的性能模拟
2 . artificial neural net ( ann ) is used in technical decision of expressway ground improvement for the first time . and ann model is setting up by using ann toolbox which the advanced calculation tool-- matlab provided 2.将人工神经网络(ann)用于高速公路软基处理的技术决策,采用先进的计算工具matlab提供的ann工具箱来建立ann模型。
artificial neural net ( ann ) is used in technical decision of expressway ground improvement . decision model based on back propagation neural network and decision model based on adaptive resonance theory are set up for the first time, the result proves that ann decision models are valid and easy realization 将人工神经网络(ann)用于高速公路软基处理的技术决策,建立了基于bp神经网络的高速公路软基处理方案决策模型和基于art神经网络的高速公路软基处理方案决策模型。
This paper sets up the formation mechanism mode of the carrier causing transportation catastrophe through studying the reason, character and regulation of the vehicle and ship causing the road, water transportation catastrophe . through demonstration investigation, the " shortcomings of existing carrier management system in the road, water transportation is found . using the forewarning management theory, the theory system of the carrier causing transportation catastrophe . inspecting index system and artificial neural net evaluate ( ann ) model is set up . this paper also offer the forecontrolling countermeasure correlation to the inspected status . finnaly, a software edited with powerbuild7.0 and fortran ? 并通过实证调查,揭示现有公路、水运交通载运工具的管理体系弊端,在此基础上,运用预警管理理论,构建了交通灾害中载运工具的预警管理体系,由此建立了区域交通载运工具安全管理状况的预警监测指标体系和人工神经网络处理评价模型,建立了相关监测状况下的预控对策原则。
The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf . in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent . it indicates that the ann's efficiency and precision by the way can be ameliorated by the simulation of real data 神经网络方法在短期预测中已经被公认为较有效的方法,本文针对神经网络用于电力系统短期负荷预测的几个方面展开研究工作:第一部分研究一般用于负荷预测的神经网络bp模型的算法,即对传统的bp算法的改进,将一种基于模式逼近度和接受概率的变步长快速bp算法应用到短期负荷预测,仿真结果表明该方法有效的改善了bp算法收敛速度慢以及容易陷入局部最小点的缺点,从而提高了神经网络用于负荷预测的效率和精度。
Firstly, aiming at the state of intelligent structure the art on the theoretic and applied research work, clearly define the conception of the intelligent structure; discuss the components of the intelligent structure; introduce the characteristic of artificial neural net ( ann ) which is used on the civil engineering structure; discuss the method that is suit to the intelligent structure-mode identification based on ann; discuss the research content of the intelligent structure; and both the characteristic of the intelligent structure design and its flow chart are discussed 本文对智能结构的理论框架及其健康状态的检测与监测进行了一些探索和研究。首先针对智能结构的理论和应用研究现状,明确地阐明了智能结构的定义和概念,全面论述了智能结构构成要素;论述了智能结构健康诊断的实现方式??人工神经网络的模式识别法;论述了智能结构的研究内容,指出了智能结构的设计特点及流程。