ARTIFICIAL inteligence theory
标签： inteligence ARTIFICIAL theory
上传时间： 2014-07-25
上传用户：13160677563
Kohenen Algorithm in ARTIFICIAL Neural Networks
标签： ARTIFICIAL Algorithm Networks Kohenen
上传时间： 2017-08-02
上传用户：banyou
Practical ARTIFICIAL Intelligence Programming in Java
标签： Intelligence Programming ARTIFICIAL Practical
上传时间： 2017-08-13
上传用户：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]
标签： the Coordinator Advancement ARTIFICIAL
上传时间： 2014-01-08
上传用户：netwolf
Simulacion en WEKA ... Trabajo de Inteligencia ARTIFICIAL
标签： Inteligencia Simulacion ARTIFICIAL Trabajo
上传时间： 2017-09-08
上传用户：sunjet
Bayesian ARTIFICIAL Intelligence (Second Edition) English Edition, 2011 Authors: Kevin B. Korb, Ann E. Nicholson
标签： Intelligence ARTIFICIAL Bayesian Edition Second
上传时间： 2018-01-25
上传用户：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.
标签： Fundamentals Intelligence ARTIFICIAL New the of
上传时间： 2020-06-10
上传用户：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.
上传时间： 2013-10-23
上传用户：wushengwu
java人工股市源码，用了GA(Genetic Algorithm)和ANN(ARTIFICIAL Neural Network)。内附程序详细说明，强烈推荐！
上传时间： 2015-02-26
上传用户：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. 使用神经网络集成方法诊断糖尿病,肝炎,乳腺癌症的案例研究.
标签： comprehensibl Description Rule-PANE accurate
上传时间： 2013-11-30
上传用户：wcl168881111111
