ARTIFICIAL inteligence theory
標簽： inteligence ARTIFICIAL theory
上傳時間： 2014-07-25
上傳用戶：13160677563
Kohenen Algorithm in ARTIFICIAL Neural Networks
標簽： ARTIFICIAL Algorithm Networks Kohenen
上傳時間： 2017-08-02
上傳用戶：banyou
Practical ARTIFICIAL Intelligence Programming in Java
標簽： Intelligence Programming ARTIFICIAL Practical
上傳時間： 2017-08-13
上傳用戶：宋桃子
David Vernon is the Coordinator of the European Network for the Advancement of ARTIFICIAL Cognitive Systems and he is a Visiting Professor of Cognitive Systems at the University of Genoa. He is also a member of the management team of the RobotCub integrated working on the development of open-source cognitive humanoid robot. Over the past 27 years, he has held positions at Westinghouse Electric, Trinity College Dublin, the European Commission, the National University of Ireland Maynooth, Science Foundation Ireland, and Etisalat University College. He has authored two and edited three books on computer vision and has published over eighty papers in the fields of Computer Vision, Robotics, and Cognitive Systems. His research interests include Fourier-based computer vision and enactive approaches to cognition. He is currently a Professor at Etisalat University College in Sharjah-United Arab Emirates, focusing on Masters programs by research in Computing fields.".[1]
標簽： the Coordinator Advancement ARTIFICIAL
上傳時間： 2014-01-08
上傳用戶：netwolf
Simulacion en WEKA ... Trabajo de Inteligencia ARTIFICIAL
標簽： Inteligencia Simulacion ARTIFICIAL Trabajo
上傳時間： 2017-09-08
上傳用戶：sunjet
Bayesian ARTIFICIAL Intelligence (Second Edition) English Edition, 2011 Authors: Kevin B. Korb, Ann E. Nicholson
標簽： Intelligence ARTIFICIAL Bayesian Edition Second
上傳時間： 2018-01-25
上傳用戶：zhkunhua
The Industrial Revolution, which started in England around 1760, has replaced human muscle power with the machine. ARTIFICIAL intelligence (AI) aims at replacing human intelligence with the machine. The work on ARTIFICIAL intelligence started in the early 1950s, and the term itself was coined in 1956.
標簽： Fundamentals Intelligence ARTIFICIAL New the of
上傳時間： 2020-06-10
上傳用戶：shancjb
Abstract: Rail splitting is creating an ARTIFICIAL virtual ground as a reference voltage. It is used to set the signalto match the op amp's "sweet spot." An op amp has the most linear- and distortion-free qualities at that sweetspot. Typically, the sweet spot occurs near the center between the single power rail and ground. In the case ofa number of signals, the virtual ground can control channel DC errors when multiplexing or switching thesignals.
標簽： 電源調(diào)整 虛擬地
上傳時間： 2013-10-23
上傳用戶：wushengwu
java人工股市源碼，用了GA(Genetic Algorithm)和ANN(ARTIFICIAL Neural Network)。內(nèi)附程序詳細說明，強烈推薦！
上傳時間： 2015-02-26
上傳用戶：TRIFCT
Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by ARTIFICIAL neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神經(jīng)網(wǎng)絡集成方法診斷糖尿病,肝炎,乳腺癌癥的案例研究.
標簽： comprehensibl Description Rule-PANE accurate
上傳時間： 2013-11-30
上傳用戶：wcl168881111111
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