Intelligence) . 机械工业出版社,2003.
3. 叶世伟, 史忠植 译. 神经网络原理(Simon Haykin: Neural Networks) . 机械工业出版社,2004.
文章
International Journal
Zhongzhi Shi, Gang Ma, Xi Yang, Chengxiang Lu. Motivation Learning in Mind Model CAM. International Journal of Intelligence Science, 5(2): 63-71, 2015.
Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He, Zhongzhi Shi. A new solution algorithm for solving rule-sets based bilevel decision problems. Concurrency and Computation: Practice and Experience 27(4):830-854 (2015)
Qing He, Haocheng Wang, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi. Parallel sampling from big data with uncertainty distribution. Fuzzy Sets and Systems 258: 117-133 (2015)
Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi. Learning deep representations via extreme learning machines. Neurocomputing 149: 308-315 (2015)
Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi. QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manage. 51(1): 25-41 (2015)
International Conference
Zhongzhi Shi. CAM is a General Framework of Brain-Like Computing. Invited Speaker. 1st World Congress of Robotics 2015 (WCR-2015), Shenyang, 2015
Zhongzhi Shi, Jinpeng Yue, Gang Ma, and Xi Yang. CCF-Based Awareness in Agent Model ABGP. Tharam Dillon. Artificial Intelligence in Theory and Practice Ⅳ, 98-107, Springer, 2015,
Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He and Zhongzhi Shi. Bayesian Maximum Margin Principal Component Analysis. AAAI-15, Austin, USA, 2015
Gang Ma,Xi Yang, Bo Zhang, Baoyuan Qi, Zhongzhi Shi. An Environment Visual Awareness Approach in Cognitive Model ABGP. 27th IEEE International Conference on Tools with Artificial Intelligence, 2015, November: 744-751
China Journal