云平臺ROIA中基于目標(biāo)預(yù)測的DR算法
發(fā)布時間:2018-11-07 17:10
【摘要】:為提高航位推算(DR)算法預(yù)測的準(zhǔn)確度,提出了一種基于目標(biāo)預(yù)測的改進DR算法,該算法首先根據(jù)角色當(dāng)前狀態(tài)下實際應(yīng)用中不同物品對角色的吸引力大小預(yù)測出其前進目標(biāo),然后結(jié)合實際運動慣性計算出預(yù)測軌跡.仿真實驗結(jié)果表明,文中所提出算法的預(yù)測準(zhǔn)確度優(yōu)于傳統(tǒng)的DR算法,該算法對構(gòu)建云平臺下的實時在線交互應(yīng)用系統(tǒng)研究有較好的參考價值.
[Abstract]:In order to improve the prediction accuracy of (DR) algorithm, an improved DR algorithm based on target prediction is proposed. The algorithm first predicts the forward target of the role according to the attraction of different items to the character in the current status of the role, and then calculates the predicted trajectory according to the actual motion inertia. The simulation results show that the prediction accuracy of the proposed algorithm is better than that of the traditional DR algorithm, and this algorithm has a good reference value for the research of real-time online interactive application system under cloud platform.
【作者單位】: 華南理工大學(xué)計算機科學(xué)與工程學(xué)院;暨南大學(xué)計算機科學(xué)系;廣東科學(xué)技術(shù)職業(yè)學(xué)院計算機工程技術(shù)學(xué)院;
【基金】:廣東省科技計劃項目(2010B060100056) 廣東省自然科學(xué)基金資助項目(S2012010008831) 廣州市科技計劃項目(2010Y0-C681)
【分類號】:TP393.09
[Abstract]:In order to improve the prediction accuracy of (DR) algorithm, an improved DR algorithm based on target prediction is proposed. The algorithm first predicts the forward target of the role according to the attraction of different items to the character in the current status of the role, and then calculates the predicted trajectory according to the actual motion inertia. The simulation results show that the prediction accuracy of the proposed algorithm is better than that of the traditional DR algorithm, and this algorithm has a good reference value for the research of real-time online interactive application system under cloud platform.
【作者單位】: 華南理工大學(xué)計算機科學(xué)與工程學(xué)院;暨南大學(xué)計算機科學(xué)系;廣東科學(xué)技術(shù)職業(yè)學(xué)院計算機工程技術(shù)學(xué)院;
【基金】:廣東省科技計劃項目(2010B060100056) 廣東省自然科學(xué)基金資助項目(S2012010008831) 廣州市科技計劃項目(2010Y0-C681)
【分類號】:TP393.09
【參考文獻】
相關(guān)期刊論文 前2條
1 何連躍,李思昆;多閾值推算定位技術(shù)研究[J];計算機研究與發(fā)展;2000年08期
2 梁白鷗;陳雷霆;蔡洪斌;;Dead Reckoning技術(shù)在網(wǎng)絡(luò)游戲中的應(yīng)用[J];計算機應(yīng)用研究;2007年09期
【共引文獻】
相關(guān)期刊論文 前4條
1 何連躍,鄢來斌,李思昆,曾亮;六邊形網(wǎng)格細(xì)分法實現(xiàn)二閾值推算定位[J];計算機工程與科學(xué);2001年02期
2 Lin-jun FAN;Yun-xiang LING;Xing-tao ZHANG;Jun TANG;;Quantitative evaluation of model consistency evolution in compositional service-oriented simulation using a connected hyper-digraph[J];Journal of Zhejiang University-Science C(Computers and Electronics);2014年01期
3 吳曉東;李建微;陳新;黃,
本文編號:2317012
本文鏈接:http://sikaile.net/guanlilunwen/ydhl/2317012.html
最近更新
教材專著