Swarm intelligence is an innovative computational way to solving hard problems. This discipline is Inspired by the behavior of social insects such as fish schools and bird flocks and colonies of ants, termites, bees and wasps. In general, this is done by mimicking the behavior of the biological creatures within their swarms and colonies.
標(biāo)簽： computational intelligence innovative discipline
上傳時間： 2014-01-14
上傳用戶：小儒尼尼奧
pdf格式的英文文獻(xiàn)，是關(guān)于認(rèn)知無線電網(wǎng)絡(luò)的，編者是加拿大桂爾夫大學(xué)的Qusay H. Mahmoud。ISBN：978-0-470-06196-1 章節(jié)內(nèi)容： 1 Biologically Inspired Networking 2 The Role of Autonomic Networking in Cognitive Networks 3 Adaptive Networks 4 Self-Managing Networks 5 Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges 6 Cross-Layer Design and Optimization in Wireless Networks 等，共計13章，全書348頁，pdf文件383頁。
標(biāo)簽： 英文
上傳時間： 2014-01-27
上傳用戶：daguda
FFTGUI Demonstration of Finite Fourier Transform. FFTGUI(y) plots real(y), imag(y), real(fft(y)) and imag(fft(y)). FFTGUI, without any arguments, uses y = zeros(1,32). When any point is moved with the mouse, the other plots respond. Inspired by Java applet by Dave Hale, Stanford Exploration Project, http://sepwww.stanford.edu/oldsep/hale/FftLab.html
標(biāo)簽： FFTGUI real Demonstration Transform
上傳時間： 2017-06-05
上傳用戶：anng
We review the current applications of photonic technologies to Smart Cities. Inspired by the future needs of Smart Cities, we then propose potential applications of advanced photonic technologies. We find that photonics already has a major impact on Smart Cities, in terms of smart lighting, sensing, and communication technologies. We further find that advanced photonic technologies could lead to vastly improved infrastructure, such as smart water‐supply systems. We conclude by proposing directions for future research that will have the greatest impact on realizing Smart City initiatives.
標(biāo)簽： Photonics Cities Smart
上傳時間： 2020-05-26
上傳用戶：shancjb
Evolutionary Computation (EC) deals with problem solving, optimization, and machine learning techniques Inspired by principles of natural evolution and ge- netics. Just from this basic definition, it is clear that one of the main features of the research community involved in the study of its theory and in its applications is multidisciplinarity. For this reason, EC has been able to draw the attention of an ever-increasing number of researchers and practitioners in several fields.
標(biāo)簽： Applications Evolutionary Computing of
上傳時間： 2020-05-26
上傳用戶：shancjb
This book is based on a Ph.D. research that has been conducted at the Delft University of Technology in the Netherlands in collaboration with Dutch Electricity & Gas Distribution Network Operator, Stedin. This book was written as a result of wider interest that was shown by different industry groups on this topic after its public defence. This Inspired the author to modify and publish a practical version of the research for a greater international audience. Therefore, the content of this book is intended for a double audience, on the one hand for those interested in the organisational and management aspects of maintenance.
標(biāo)簽： Maintenance Electricity Risk-Based Network for
上傳時間： 2020-06-07
上傳用戶：shancjb
蟲蟲下載站版權(quán)所有 京ICP備2021023401號-1
