random step function 中文意思是什麼
random step function
解釋
隨機階函數-
The research paper is based on the the latest softwares of the managing inventory, its research subject is about simulating the most appropriate inventory quantity and ordering quantity by statisticing the probability of the random require quantity. its purpose is to provide the relied basement for determining the most appropriate inventory quantity and ordering quantity, the deterring policy quality will be raised, so the damage caused by unfit inventory quantity and the benefit of the entrerpreneur will be raised. the research method is by building the inventory management information system, the system includes automated management of parts entering and going out the datasbase. requesting the records of parts entering and going out the datasbase and displaying the sygonal when the inventory quantity is short out. computer calculating the fix period remaining, requesting remaining at any time and displaying if goods need ordering, all the partsof certain a product going out of basement and at the same time checking if the storaging quantity is enough. then simulating the most appropriate inventory quantity and ordering quantity simulating method is as follows : statisticing the random required quantity. calculating the probability, standing for the values with data range producing random data by function accordingly calculating the random required quantity. thenext step is simulating all the projects after pressing in the simulating conditions. finally selecting the best
本文通過分析國內外關于庫存管理軟體的發展情況，提出在線統計貨物出庫情況的基礎上利用模擬方法確定最優存儲方案，其目的是為制定合理的貨物安全庫存量和訂貨量提供可靠的依據，提高企業管理人員的決策質量，從而減小資金的佔用和缺貨損失，提高企業的經濟效益。通過研製庫存管理信息系統使庫存信息管理自動化，也就是實現貨物入出庫管理計算機管理、自動查詢貨物入出庫情況並在缺貨時給予提示、使用計算機貨物余額定期結算、貨物余額實時查詢並顯示是否需要訂貨、裝配出庫管理使得只要輸入需要裝配產品代號和數量，組成它的所有零件就會自動檢庫和出庫。然後對安全庫存量和訂貨量進行模擬，模擬方法是首先自動統計貨物在過去某一段時間內的需求量，計算出概率，用隨機數的范圍表示其概率數值的大小，利用隨機函數產生隨機數、從而間接的產生隨機需求量，給定模擬天數和其他模擬條件模擬各種方案，從眾多的存儲方案中找出最優存儲方案。 -
Abstract : the most critical task in designing a model based on predictive controller is identifying a reasonably good process model. the identification model of mould level of a continuous casting line in a steel plant is very difficult. due to the extremely high stochastic disturbance level, well - known parametric identification methods using random step function, prbs or stochastic test inputs are not successful. the present method based on orthogonal test inputs gives satisfactory results
文摘:在設計一種基於預測控制器模型時，最關鍵的工作是識別一個合理可靠的過程模型.在鋼鐵廠的連續鑄造線上識別鑄模液位模型是很困難的，由於極高的隨機干擾水平，使得眾所周知的隨機階躍函數， prbs或隨機試驗輸入等參數識別方法都以失敗告終.而本文介紹的基於正交檢測的方法給出了令人滿意的結果
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