power_FCV_powertrain

it is a very essential matlab code.

数值解的方法解释“战争使捕鱼量下降，食用鱼增加，鲨鱼等也随之增加，但鲨鱼的比例却大幅增加”这一现象。(Numerical interpretation of the " war to the decline of fishing, increased consumption of fish, sharks, also increased, but the proportion of sharks has increased substantially," the phenomenon.)

The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.

自适应预测，可用于预测已知信号的未来时间序列(Adaptive prediction)

应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂(Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the training set (7291 data), a test data (2791 data), the program written using MATLAB , attached a document, the program is simple and easy to understand)

该工具箱包括了混沌时间序列分析与预测的常用方法,有: 产生混沌时间序列(chaotic time series) Logistic映射 - ChaosAttractorsMain_Logistic.m Henon映射 - ChaosAttractorsMain_Henon.m Lorenz吸引子 - ChaosAttractorsMain_Lorenz.m Duffing吸引子 - ChaosAttractorsMain_Duffing.m Duffing2吸引子 - ChaosAttractorsMain_Duffing2.m Rossler吸引子 - ChaosAttractorsMain_Rossler.m Chens吸引子 - ChaosAttractorsMain_Chens.m (The kit includes a chaotic time series analysis and prediction of commonly used methods are: generate chaotic time series (chaotic time series) Logistic map- ChaosAttractors Main_Logistic.m Henon map- ChaosAttractors Main_Henon.m Lorenz attractor- ChaosAttractors Main_Lorenz.m Duffing attractor- ChaosAttractors Main_Duffing.m Duffing2 attractor- ChaosAttractors Main_Duffing2.m Rossler attractor- ChaosAttractors Main_Rossler.m Chens attractor- ChaosAttractors Main_Chens.m)

Un ejemplo de aplicacion de inteligencia de particulas con red multicuadratica si se utiliza por favor comentarme para crecer nuestros conocimientos

workshop on communication and networks

This paper studies a cooperative cognitive radio net-work where two primary users (PUs) exchange information with the help of a secondary user (SU) that is equipped with multiple antennas and in return, the SU superimposes its own messages along with the primary transmission. The fundamental problem in the considered network is the design of transmission strategies at the secondary node. It involves three basic elements: first, how to split the power for relaying the primary signals and fo

"The Implementation of Reinforcement Learning" by "Setareh Mostajabi - Master of AI"