MATLAB潮流和最佳潮流計(jì)算程序 MATPOWER - Matlab routines for solving power flow problems.
標(biāo)簽： MATPOWER routines problems solving
上傳時(shí)間： 2014-01-18
上傳用戶：zhanditian
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(shí)間： 2014-01-14
上傳用戶：小儒尼尼奧
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
標(biāo)簽： identification considered features separati
上傳時(shí)間： 2016-09-20
上傳用戶：FreeSky
Program by matlab. For instance, solve math problem and matrix analize.
標(biāo)簽： instance Program analize problem
上傳時(shí)間： 2014-12-08
上傳用戶：ANRAN
用Kruskal算法構(gòu)造最小生成樹解決指派問(wèn)題（assignment problem） 一家公司經(jīng)理準(zhǔn)備安排 名員工去完成 項(xiàng)任務(wù)，每人一項(xiàng)。由于各員工的特點(diǎn)不同，不同的員工去完成同一項(xiàng)任務(wù)時(shí)所獲得的回報(bào)是不同的。如何分配工作方案可以使總回報(bào)最大？
標(biāo)簽： assignment Kruskal problem 算法
上傳時(shí)間： 2016-09-24
上傳用戶：hoperingcong
it use the genetic algorithm to deal with the TSP problem
標(biāo)簽： algorithm the genetic problem
上傳時(shí)間： 2016-10-14
上傳用戶：zhangliming420
％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UKF proposal (PFUKF)
標(biāo)簽： the Demonstrate differences following
上傳時(shí)間： 2016-10-20
上傳用戶：wuyuying
A program for solving equations using Newton s Method.Just need to modify the data in the main function. If there is any bugs, please contact chenxiang@cad.zju.edu.cn
標(biāo)簽： equations the program solving
上傳時(shí)間： 2016-11-03
上傳用戶：xwd2010
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation
標(biāo)簽： multi-instance multi-insta adapting learning
上傳時(shí)間： 2014-01-14
上傳用戶：manlian
These instances, whenmapped to an N-dimensional space, represent a core set that can be used to construct an approximation to theminimumenclosing ball. Solving the SVMlearning problem on these core sets can produce a good approximation solution in very fast speed. For example, the core-vector machine [81] thus produced can learn an SVM for millions of data in seconds.
標(biāo)簽： N-dimensional whenmapped instances represent
上傳時(shí)間： 2016-11-23
上傳用戶：lixinxiang
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