2007 年度：

[1] On-line adaptive control for inverted pendulum balancing based on feedback-error-learning. Neurocomputing, 70 (4-6): 770-776 JAN 2007.

[2] A tabu based neural network learning algorithm. Neurocomputing, 70 (4-6): 875-882 JAN 2007.

2006 年度：

[1] Infinite-horizon optimal control based on continuous-time continuous-state Hopfield neural networks. International Journal of Wavelets Multiresolution and Information Processing, 4 (4): 707-719, 2006.

[2]A cerebellar feedback error learning scheme based on Kalman estimator for tracing in dynamic system. Lecture Notes in Computer Science, 3971: 489-495, 2006.

[3] Tumor-specific gene expression patterns with gene expression profiles, Sciences in China Series C-Life Sciences, 49: 293-304, 2006.

[4] A Linkage Learning Genetic Algorithm with Linkage Matrix. Journal of Electronic Science and Technology of China, 14: 29-34, 2006.

[5] A cellular automata model for simulating fed-batch penicillin fermentation process. Frontier of Biology in China, 1: 195-202, 2006.

[6]Mandarin voice conversion using tone codebook mapping. Lecture Notes in Artificial Intelligence, 3930: 965-973, 2006.

[7]Cooperative motor learning model for cerebellar control of balance and locomotion. Lecture Notes in Computer Science, 3971: 27-33, 2006.

[8] A cerebellar control model of the mechanisms of gaze-throw adjustment. Chinese Journal of Electronics, 15 (4A): 841-844, 2006.

[9] 基于基因表達(dá)譜的腫瘤特異基因表達(dá)模式研究, 《中國科學(xué)(C輯：生命科學(xué))》, 36: 86-96, 2006.

[10] 腫瘤基因表達(dá)譜分類特征基因選取問題及分析方法研究, 《計算機(jī)學(xué)報》, 29: 324-330, 2006.

[11] 演化級聯(lián)神經(jīng)網(wǎng)絡(luò)對腦電信號的分類研究, 《生物醫(yī)學(xué)工程學(xué)雜志》, 23: 262-265, 2006.

[12] 基于細(xì)胞自動機(jī)的實體腫瘤生長動態(tài)建模, 《生物數(shù)學(xué)學(xué)報》, 21: 129-136, 2006.

[13] 加入預(yù)測信息的反饋誤差學(xué)習(xí)模型及其仿真研究,《系統(tǒng)仿真學(xué)報》, 18(11): 3227-3229, 2006.

[14] 基于遞歸神經(jīng)網(wǎng)絡(luò)的移動域控制方法, 《控制與決策》, 21: 918-922, 2006.

[15] 一個室內(nèi)清潔機(jī)器人的區(qū)域遍歷與地圖繪制, 《機(jī)器人技術(shù)》, (4): 37-42, 2006.

[16] 用連續(xù) Hopfield 網(wǎng)絡(luò)實現(xiàn)無限時域上的最優(yōu)控制，《控制理論與應(yīng)用》, 23: 640-644, 2006.

2005 年度：

[1] A growing cognitive model of motor balance skill: architecture, algorithm and application. International Journal of Information Technology, 11(11): 31-39, 2005.

[2] The Cognitive Behaviors of a spiking-neuron based classical conditioning model. Lecture Notes in Computer Science, 3645: 939-948, 2005.

[3]A Neurocomputing Model for Real Coded Genetic Algorithm with the Minimal Generation Gap. Neural Computing & Applications, 13: 221-228, 2005.

[4] Reinforcement Learning based on multiagent in RoboCup. Lecture Notes in Computer Science, 3644: 967-975, 2005.

[5] Applications of cellular automata in complex system study. International Journal of Information and System Sciences, 1: 302-308, 2005.

[6] The Implementation of a routing algorithm based on chaotic neural network in multicast routing problems. International Journal of Information Technology, 11(9): 82-90, 2005.

[7] 基于基因表達(dá)譜的腫瘤亞型識別與分類特征基因選取研究, 《電子學(xué)報》, 33: 651-655, 2005.

[8]用改進(jìn)的差分式 Hopfield 網(wǎng)絡(luò)實現(xiàn)線性二次型最優(yōu)控制, 《控制理論與應(yīng)用》, 22: 837- 842, 2005.

[9] 一種基于遺傳算法的進(jìn)化計算模型, 《控制與決策》, 20: 11-16, 2005.

[10] 基于連續(xù) Hopfield 網(wǎng)絡(luò)的多變量時變系統(tǒng)最優(yōu)控制, 《控制與決策》, 20: 1038-1042, 2005.

[11] 基于自適應(yīng)層疊神經(jīng)網(wǎng)絡(luò)的腦電信號分類研究, 《模式識別與人工智能》, 18: 713-716, 2005.

[12] 基于尖峰神經(jīng)元的條件反射模型及其認(rèn)知行為的研究, 《系統(tǒng)仿真學(xué)報》, 17: 2134-2137, 2005.

[13] 急性白血病的基因表達(dá)譜分析與亞型分類特征的鑒別, 《中國生物醫(yī)學(xué)工程學(xué)報》, 24: 240-244, 2005.

[14] 基于自組織映射網(wǎng)絡(luò)的多骨髓瘤預(yù)測模型的研究, 《中國生物醫(yī)學(xué)工程學(xué)報》, 24: 397-402, 2005.

[15] 基于GMDH型神經(jīng)網(wǎng)絡(luò)的EEG分類研究, 《中國生物醫(yī)學(xué)工程學(xué)報》, 24: 66-69, 2005.

[16] 空間模型對單次運動相關(guān)腦電的分析, 《中國生物醫(yī)學(xué)工程學(xué)報》, 24: 85-88, 2005.

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