Particle swarm optimization toolbox (matlab)
標(biāo)簽： optimization Particle toolbox matlab
上傳時間： 2013-12-18
上傳用戶：xmsmh
Particle FILTER ON THE TARGET TRACKING .
標(biāo)簽： Particle TRACKING FILTER TARGET
上傳時間： 2013-12-23
上傳用戶：it男一枚
Particle FILTER框架結(jié)構(gòu)及應(yīng)用
上傳時間： 2014-01-22
上傳用戶：671145514
Particle FILTER TRACK BEFORE DETECT ALGORHTMS.
標(biāo)簽： ALGORHTMS Particle FILTER BEFORE
上傳時間： 2013-12-23
上傳用戶：dreamboy36
Particle FILLTER 粒子濾波算法應(yīng)用于多目標(biāo)跟蹤.
標(biāo)簽： Particle FILLTER 粒子濾波 算法
上傳時間： 2014-01-10
上傳用戶：bcjtao
Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter 介紹了一種基于四元數(shù)粒子濾波的方法
標(biāo)簽： Algorithm-Embedded Observations Estimating Quaternion
上傳時間： 2013-12-29
上傳用戶：集美慧
Particle Filtering for Sequential Spacecraft Attitude Estimation 衛(wèi)星姿態(tài)估計的另外一種粒子濾波的介紹
標(biāo)簽： Estimation Sequential Spacecraft Filtering
上傳時間： 2014-07-06
上傳用戶：cxl274287265
Particle fileter實現(xiàn)了一個最簡單的sir濾波器
標(biāo)簽： Particle fileter sir 濾波器
上傳時間： 2016-03-19
上傳用戶：woshini123456
A dissipative Particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively. structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively.
標(biāo)簽： self-organization optimization dissipative developed
上傳時間： 2016-03-31
上傳用戶：zgu489
Swarm intelligence algorithms are based on natural behaviors. Particle swarm optimization (PSO) is a stochastic search and optimization tool. Changes in the PSO parameters, namely the inertia weight and the cognitive and social acceleration constants, affect the performance of the search process. This paper presents a novel method to dynamically change the values of these parameters during the search. Adaptive critic design (ACD) has been applied for dynamically changing the values of the PSO parameters.
標(biāo)簽： intelligence optimization algorithms behaviors
上傳時間： 2014-01-08
上傳用戶：lgnf
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