we want to learn about methods in c
標(biāo)簽： methods learn about want
上傳時(shí)間： 2017-09-13
上傳用戶：xiaohuanhuan
這個(gè)主要是研究：Simple Numerical Methods for Scalar Conservation Laws
標(biāo)簽： Conservation Numerical Methods Simple
上傳時(shí)間： 2017-09-21
上傳用戶：cc1015285075
這個(gè)主要是研究：Basic Numerical Methods for Scalar Conservation Laws
標(biāo)簽： Conservation Numerical Methods Scalar
上傳時(shí)間： 2013-12-10
上傳用戶：dengzb84
Solving nonlinear equations using Newton s and Transversal methods for function x=exp(-x^2)
標(biāo)簽： Transversal nonlinear equations function
上傳時(shí)間： 2017-09-28
上傳用戶：aix008
Solving linear equations using iteration. Seidels and Biggest incline methods
標(biāo)簽： equations iteration Solving Seidels
上傳時(shí)間： 2013-12-25
上傳用戶：playboys0
Numerical Methods Using MATLAB 4th Edition(Ch)
標(biāo)簽：
上傳時(shí)間： 2014-04-07
上傳用戶：wangdx
Owen, 塑性計(jì)算方法，Computational methods for plasticity
標(biāo)簽： Computational plasticity methods for 計(jì)算方法
上傳時(shí)間： 2019-01-06
上傳用戶：jununlin
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(biāo)簽： Auto-Machine-Learning-Methods-Sys tems-Challenges
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
·Michael A. JohnsonMohammad H.MoradiPID ControlNew Identification and Design Methods
上傳時(shí)間： 2013-06-13
上傳用戶：shizhanincc
Methods for designing a maintenance simulation training system for certain kind of radio are introduced. Fault modeling method is used to establish the fault database. The system sets up some typical failures， follow the prompts trainers can locate the fault source and confirm the type to accomplish corresponding fault maintenance training. A training evaluation means is given to examining and evaluating the training performance. The system intuitively and vividly shows the fault maintenance process， it can not only be used in teaching， but also in daily maintenance training to efficiently improve the maintenance operation level. Graphical programming language LabVIEW is used to develop the system platform.
標(biāo)簽： 電臺(tái)維修 模擬訓(xùn)練 方法研究 系統(tǒng)設(shè)計(jì)
上傳時(shí)間： 2013-11-19
上傳用戶：3294322651
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