張化祥
山東師範大學教授
個人簡歷:
張化祥，男，上海交通大學計算機科學與工程系博士畢業，山東師範大學信息科學與工程學院教授，計算機系副主任。2004年7月任教於山東師範大學。曾主持和參與過多個省、部級項目的研製與開發，參與國家863計畫、國家郵政總局相關項目研製及開發，目前主持山東省博士基金、省科技攻關計畫、山東師範大學工程項目的研製與開發；近兩年獲得山東省自然科學二等獎一次和省教育廳優秀教學成果獎兩次。近期在國內、外著名學術期刊發表學術論文多篇，SCI、EI收錄二十多篇，參與多個國際會議的組織，並為多個會議和期刊審稿。出版學術專著五部。為本科生講授過《Java編程》、《人工智慧》及《計算機輔助教育》，為研究生講授《高級人工智慧》及《高級圖形學》課程。主要感興趣的研究領域包括機器學習、模式識別、多代理技術、組合分類器技術、生物信息技術、進化計算、主題Web檢索及知識發現新算法。
發表論文：
1.Huaxiang Zhang et al. Adaptive Evolutionary Programming based on Reinforcement Learning, information sciences, accepted, 2007. (SCI、EI)
2.Huaxiang Zhang et al. An adaptive policy gradient in learning Nash equilibria. neurocomputing, accepted, 2007. (SCI、EI)
3.張化祥，陸晶。基於Q學習的適應性進化規划算法，自動化學報，已錄用，2007. (EI)
4.Huaxiang Zhang et al. A Fuzzy Approach to Ranking Hyperlinks. The 4rd International Conference on Fuzzy Systems and Knowledge Discovery. Accepted by FSKD2007. (EI)
5.Huaxiang Zhang, Shangteng Huang. Convergent Gradient Ascent with Momentum in General-Sum Games. Neurocomputing. 2004, 61: 449-454 (SCI、EI)
6.Zhang Huaxiang, Huang Shangteng. Multiagent Learning Algorithm Based on Global Objective. J. of Systems Engineering and Electronics Technology. Vol.16(3) 676-681 (EI)
7.Zhang Huaxiang, Huang Shangteng. Multiagent reinforcement learning by merging individually learned value functions. J. of Harbin institute of technology, vol. 12(3) 346-350, 2005 (EI)
8.張化祥，黃上騰。一般和對策中基於協商的多代理強化學習。《上海交通大學學報》，Vol.39(s), 108-112, 2005 (EI)
9.Zhang Hua-xiang，Huang Shang-teng. The cooperative multi-agent learning with random reward values. J. of Shanghai Jiaotong Univ.(science). Vol. e-10(2)147-150, 2005 (EI)
10.趙彤，張化祥等。基於徑向基函式神經網路遲滯非線性自適應控制。上海交通大學學報。2005,39(12) 2002-2005 (EI)
11.Huaxiang Zhang et al. A momentum-based approach to learning Nash equilibria, Lecture Note in Computer Science, 4088, 528-533. (SCI、EI)
12.Huaxiang Zhang et al. A Novel P2P Information Clustering and Retrieval Mechanism. Lecture Note in Computer Science, 4093, 364-371. (SCI、EI)
13.Huaxiang Zhang et al. An Incremental Approach to Link Evaluation in Topic-Driven Web Resource Discovery. LNCS, Vol.3521 (301-310). (SCI、EI)
14.Huaxiang Zhang et al . Fuzzy reward modeling for run-time peer selection in peer- to- peer networks. LNAI, 2005, vol. 3613, 523-530. (SCI、EI)
15.Zhang Huaxiang, Huang Shangteng. Merging individually learned optimal results to accelerate coordination. Springer LNCS Vol.3129: 628-633, 2004 (SCI)
16.Zhang Huaxiang, et al. A Machine Learning Approach to Automated Negotiation. High technology letters. Vol. 10(3): 61-65,2004 (EI)
