The “bottom-line” metrics of cash flow, demand, price, and return on investment are driven by a second set of financial metrics represented by value to the customer, cost, and the pace of innovation. Get them Right relative to competition and impressive bottom-line results should follow. Because of their importance, we call value to the customer, variable cost, and the pace of innovation the “fundamental metrics.”
標簽： Planning Product Systems Driven Value and
上傳時間： 2020-06-06
上傳用戶：shancjb
Thepredecessorvolumeofthisbookwaspublishedin1996.Intheyears since then, some things have changed and some have not. Two of the things that have not changed are the desire for better models and faster simulations. I performed the original simulations on my “hyperfast” 133-MHz computer! At the time, I thought if I could just getafastercomputer,allofourSPICEproblemswouldbehistory,Right? TodayIamsimulatingonacomputerthathasa2.6-GHzprocessorwith 512 MB of RAM, and I would still say that simulations run too slow. The computer technology has evolved, but so have the models. In 1996 wewereperformingsimulationson100-kHzpowerconverters,whereas today I routinely see 1- and 2-MHz power converters.
標簽： Switch-Mode Simulation Supply Power
上傳時間： 2020-06-07
上傳用戶：shancjb
Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn. Machine learning is also fascinating in its own Right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.
標簽： Learning Machine Course in
上傳時間： 2020-06-10
上傳用戶：shancjb
The past decade has seen an explosion of machine learning research and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensitive to a plethora of design decisions, which constitutes a considerable barrier for new users. This is particularly true in the booming field of deep learning, where human engineers need to select the Right neural architectures, training procedures, regularization methods, and hyperparameters of all of these components in order to make their networks do what they are supposed to do with sufficient performance. This process has to be repeated for every application. Even experts are often left with tedious episodes of trial and error until they identify a good set of choices for a particular dataset.
標簽： Auto-Machine-Learning-Methods-Sys tems-Challenges
上傳時間： 2020-06-10
上傳用戶：shancjb
選擇文件 X 雙色球彩票過濾器 綠色免費版
上傳時間： 2020-11-27
上傳用戶：
選擇文件 X 雙色球彩票管理系統(LotterySystem)
標簽： LotterySystem 雙色 管理系統
上傳時間： 2020-11-27
上傳用戶：
拉基源碼.txt
上傳時間： 2020-12-23
上傳用戶：
keil-C51中文完全破解版 keil-C51中文完全破解版 keil-C51中文完全破解版 keil-C51中文完全破解版 keil-C51中文完全破解版
上傳時間： 2021-03-23
上傳用戶：cc8425672
delphi做的系統強制重啟程序。 服務器死機怎么辦？用該軟件重啟。 1.病毒感染:一般表現,起初能夠正常運行,某天突然運行速度變慢,工作效率急劇下降,出現頻繁的死機。這時首先進行全面查毒、殺毒,以確定機器是否已經感染了病毒。 2.有些軟件編程不規范,不能排在第一加載和運行,而要放在最后運行,否則會引起系統管理的混亂。測試版軟件在某方面不夠穩定,使用后可能會導致系統無法啟動,所以最好少用。 3.在內存較小的情況下,運行占用內存較大的應用程序,容易出現死機。建議在運行程序時應及時重啟系統。
標簽： delphi
上傳時間： 2021-07-27
上傳用戶：風云
基于JAVA CS遠程監控系統軟件的實現(源代碼+WORD論文文檔論文)基于JAVA C/S遠程監控系統軟件的實現摘 要近年來，網絡技術的不斷發展，為遠程監控技術的發展創造了條件。遠程監控系統軟件越來越受到人們的重視，其實用性也毋庸質疑?；贘AVA C/S遠程監控系統軟件突破了空間的限制，使用者不用親臨，在自己的電腦面前就能輕松的實現對被監控端機器的監控。本系統采用Java網絡編程和Java圖形編程實現。筆者在開發過程中將網絡技術與遠程監控理論基礎相結合，實現了以下功能：能連續獲得被監控端機器屏幕變化；實現被監控端硬盤文件的上傳、下載；實現對鼠標、鍵盤的模擬；實現在遠程機器上執行任意DOS命令；遠程關機、遠程重啟計算機，方便了用戶監視和操作被監控端機器。本系統從系統需求分析、概要設計、詳細設計到具體的編碼實現和后期的代碼優化、功能測試都嚴格遵循了軟件工程的思想。 關鍵詞：遠程監控；Java Robot；屏幕截??；Java Socket
上傳時間： 2021-10-25
上傳用戶：
