Man Machine Interface
標(biāo)簽： Interface Machine Man
上傳時(shí)間： 2017-04-24
上傳用戶：zhliu007
Traveeling sales man problem solved using genetic algorithm in matlab
標(biāo)簽： Traveeling algorithm genetic problem
上傳時(shí)間： 2013-12-17
上傳用戶：liuchee
WIRELESS MAN PRESENTATION
標(biāo)簽： PRESENTATION WIRELESS MAN
上傳時(shí)間： 2017-06-30
上傳用戶：yt1993410
使用進(jìn)化計(jì)算算法解決TSP（Travelling Sales man Problem）問題的算法實(shí)現(xiàn)。程序顯示了進(jìn)化計(jì)算在解決NP-Hard的傳統(tǒng)難題上的優(yōu)勢。
標(biāo)簽： Travelling Problem NP-Hard Sales
上傳時(shí)間： 2014-01-22
上傳用戶：wys0120
Many 8-bit and 16-bit microcontrollers feature 10-bitinternal ADCs. A few include 12-bit ADCs, but these oftenhave poor or nonexistent AC specifi cations, and certainlylack the performance to meet the needs of an increasingnumber of applications. The LTC®2366 and its slowerspeed versions offer a high performance alternative, asshown in the AC specifi cations in Table 1. Compare theseguaranteed specifi cations with the ADC built into yourcurrent microcontroller.
上傳時(shí)間： 2013-10-26
上傳用戶：jackandlee
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.
標(biāo)簽： Description Randomness Attribute Filtered
上傳時(shí)間： 2015-04-10
上傳用戶：ynzfm
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
標(biāo)簽： Description supervised algorithm S-ISOMAP
上傳時(shí)間： 2015-04-10
上傳用戶：wfeel
· Develop clear, readable, well-documented and well-designed programs in the C Programming Language. · Develop software in the Unix/Linux using tools such as gcc, gdb, and make. · Locate and interpreting “man pages” applicable to application-level system programming. · Use the POSIX/Unix API to system functions to manage process and sessions as well as use signals and pipes for inter-process communication. · Understanding how synchronization might become problematic in light of concurrency. · Understand how to communicate and cooperate with a project partner.
標(biāo)簽： well-documented well-designed Programming Language
上傳時(shí)間： 2015-08-16
上傳用戶：yuchunhai1990
This manual describes omniidl, the omniORB IDL compiler. It is intended for developers who wish to write their own IDL compiler back-ends, or to modify existing ones. It also documents the design of the compiler front-end for those poor souls who have to track the IDL specification.
標(biāo)簽： developers describes compiler intended
上傳時(shí)間： 2015-10-07
上傳用戶：84425894
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
標(biāo)簽： Introduction Classifiers Algorithms introduces
上傳時(shí)間： 2015-10-20
上傳用戶：aeiouetla
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