intermittent cycle activated sludge system and modified processes 间歇式活性污泥法及其变型
the adult brain shows remarkable plasticity, learning-induced plasticity is that an awake animal learns the association between two events and modifies processing ability of its brian to specific information and thus change its behavior as a function of the learned association 成体脑存在显著的可塑性。学习诱导的可塑性是指动物学习两个事件之间的联系而产生的脑对特定信息处理功能的改变并能随之调整本身行为的现象。
this thesis studys several distribution network reconfiguration algorithms detailedly, mostly concluding branch-exchange method, optimal flow pattern method, recursive fictitious flow method and hybrid flow pattern method . it analyzes theoretical basis of all algorithms, modified process and basic steps at length . besides it simptylniroduce other distribution reconfiguration algorithms and its development, compares the characters of all algorithms and puts forward a simplied recursive fictitious flow method, then according to a example proves the effect of some algorithms 本论文详细研究了多种配电网络重构算法,主要包括支路交换法、最优流模式法、递归虚拟流法和混合流模式法,详细分析了各种算法的理论依据、改进过程和基本步骤,简述了其它相关重构算法的思路及其发展,比较了各种算法的各类特性,提出了一种简化递归虚拟流算法,并通过实例证明了几种重构算法的有效性。
the dual standard quantity ( the work piece and the discrete standard quantity ) mutual measuring and model verification methods are also proposed, which perfects the whole modifying process from data measuring, error separation, model establishment to real correction . after researching the discrete standard quantity system dynamic error separation technique, two error correction methods based on genetic algorithm and neural network mixed modeling technique are established . the two methods are the discrete standard quantity dynamic error direct / synchronous correction and prediction model correction; the model's parameters and model's exercising method are also confirmed 设计了双标准量值(工件和离散标准量)互比测量的模型验证方法,完善了从数据测量、误差分离、模型建立到实际修正的整个修正过程;研究了离散标准量系统动态误差分离技术,建立了基于遗传进化算法与神经网络混合建模技术的两种误差修正方法??离散标准量动态误差直接(同步)修正方法和预报模型修正方法,并确定了模型结构参数和模型训练方法;分析了预报模型的多次预报性质,并得出了多次预报与多步预报的等效关系,确定了测量系统的有效预报范围以及模型参数对泛化误差的影响;进行了模型的对比实验验证和被测工件动态误差修正试验,成功地实现了任意二面角和圆分度的实时误差修正。