一種智能語(yǔ)言，適合用來(lái)做專家系統(tǒng) an ARTIFICIAL intelligence language named clips, it is useful in ES engineer
標(biāo)簽： 語(yǔ)言
上傳時(shí)間： 2016-11-06
上傳用戶：ggwz258
很經(jīng)典的一個(gè)算法。大家做工程和通信用的著。遺傳算法（Genetic Algorithm）是模擬達(dá)爾文的遺傳選擇和自然淘汰的生物進(jìn)化過(guò)程的計(jì)算模型，是一種通過(guò)模擬自然進(jìn)化過(guò)程搜索最優(yōu)解的方法，它是有美國(guó)Michigan大學(xué)J.Holland教授于1975年首先提出來(lái)的，并出版了頗有影響的專著《Adaptation in Natural and ARTIFICIAL Systems》，GA這個(gè)名稱才逐漸為人所知，J.Holland教授所提出的GA通常為簡(jiǎn)單遺傳算法（SGA）。
標(biāo)簽： Algorithm Genetic 算法 家
上傳時(shí)間： 2017-02-09
上傳用戶：wkchong
詳細(xì)介紹MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的論文，發(fā)表于ARTIFICIAL Intelligence上。
上傳時(shí)間： 2017-03-26
上傳用戶：朗朗乾坤
Programming language: Developed in Omnet++. Comment: The model implements the AntNet routing algorithm proposed in: G. Di Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of ARTIFICIAL Intelligence Research, 9:317-365, 1998. It reqires OMNeT++ 2.3 or later.
標(biāo)簽： Programming implements Developed language
上傳時(shí)間： 2014-11-30
上傳用戶：nanfeicui
Sound Synthesis Methods. Typical features of abstract algorithms are the simplicity and ease of implementation. The sound is more or less ARTIFICIAL compared to more sophisticated methods.
標(biāo)簽： algorithms simplicity Synthesis features
上傳時(shí)間： 2014-01-09
上傳用戶：問(wèn)題問(wèn)題
A major societal challenge for the decades to come will be the delivery of effective medical services while at the same time curbing the growing cost of healthcare. It is expected that new concepts-particularly electronically assisted healthcare will provide an answer. This will include new devices, new medical services as well as networking. On the device side, impressive innovation has been made possible by micro- and nanoelectronics or CMOS Integrated Circuits. Even higher accuracy and smaller form factor combined with reduced cost and increased convenience of use are enabled by incorporation of CMOS IC design in the realization of biomedical systems. The compact hearing aid devices and current pacemakers are good examples of how CMOS ICs bring about these new functionalities and services in the medical field. Apart from these existing applications, many researchers are trying to develop new bio-medical solutions such as ARTIFICIAL Retina, Deep Brain Stimulation, and Wearable Healthcare Systems. These are possible by combining the recent advances of bio-medical technology with low power CMOS IC technology.
上傳時(shí)間： 2017-02-06
上傳用戶：linyj
The current methods of communications are becoming less relevant under today’s growing demand for and reliance on constant connectivity. Of decreasing relevance are the models of a single radio to perform a single task. The expansion of wireless access points among coffee shops, airports, malls, and other public arenas is opening up opportunities for new services and applications.
標(biāo)簽： Intelligence ARTIFICIAL
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
Cooperation has been the subject of intensive study in the social and biological sciences, as well as in mathematics and ARTIFICIAL intelligence. The fundamental finding is that even egoists can sustain cooperation provided the structure of their environment allows for repeated interactions (Axelrod 1984).
標(biāo)簽： Cooperation Wireless Networks in
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
If you are acquainted with neural networks, automatic control problems are good industrial applications and have a dynamic or evolutionary nature lacking in static pattern-recognition; control ideas are also prevalent in the study of the natural neural networks found in animals and human beings. If you are interested in the practice and theory of control, ARTIFICIAL neu- ral networks offer a way to synthesize nonlinear controllers, filters, state observers and system identifiers using a parallel method of computation.
標(biāo)簽： Control Systems Neural For
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
Recent years have seen a rapid development of neural network control tech- niques and their successful applications. Numerous simulation studies and actual industrial implementations show that ARTIFICIAL neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings.
標(biāo)簽： Stable_adaptive_neural_network_co ntrol
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
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