[1] PAPAGEORGIOU E I, MARKINOS A T, GEMOTS T. A Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application[J]. Applied Soft Computing , 2011, 11(4): 3643-3657. [2] 杨靖民, 杨靖一, 姜旭, 等. 作物模型研究进展[J]. 吉林农业大学学报, 2012, 34(5): 553-561. YANG J M, YANG J Y, JIANG X, et al. Progress of crop model research [J]. Journal of Jilin Agricultural University , 2012,34(5): 553-561. (in Chinese with English abstract) [3] 王丽艳, 郭树国. 基于 BP 神经网络的番茄干重预测研究[J]. 浙江农业学报, 2012, 24(5): 922-925. WANG L Y, GUO S R. Prediction study of tomato dry weight based on BP neural network[J]. Acta Agriculture Zhejiangensis , 2012, 24(5): 922-925. (in Chinese with English abstract) [4] FERREIRA C. Gene expression programming: A new adaptive algorithm for solving problems[J]. Complex Systems , 2001, 13(2): 87-129. [5] SAMADIANFARD S, DELIRHASANNIA R, KIŞI Ö, et al. Comparative analysis of ozone level prediction models using gene expression programming and multiple linear regression[J]. Geofizika , 2013, 30(1): 43-74. [6] 元昌安. 基因表达式编程算法原理与应用[M]. 北京: 科学出版社, 2010. [7] 李茵. 基于基因表达式编程的粮食产量预测研究[D]. 杨凌: 西北农林科技大学, 2010. LI Y. Research on grain yield forecasting based on gene expression programming[D]. Yangling: Northwest A&F University, 2010. (in Chinese with English abstract) [8] 丁维龙, 胡辰, 程志君, 等. 基于基因表达式编程的植物形态建模智能化方法[J]. 农业工程学报, 2013, 29(1): 134-141. DING W L, HU C, CHENG Z J, et al. Intelligent modeling method for plant morphology based on gene expression programming[J]. Transactions of the Chinese Society of Agricultural Engineering , 2013, 29(1): 134-141. (in Chinese with English abstract) [9] 王升, 陈洪松, 聂云鹏,等.基于基因表达式编程算法的参考作物腾发量模拟计算[J]. 农业机械学报, 2015, 46(4): 106-112. WANG S, CHEN H S, NIE Y P, et al. Simulation of reference evapotranspiration based on gene expression programming method[J]. Transactions of the Chinese Society for Agricultural Machinery , 2015, 46(4): 106-112. (in Chinese with English abstract) [10] JIANG Z H, WANG C S, ZHANG J, et al. Online monitoring and analysis of plant photosynthetic physiology and environmental factors[J]. Applied Mechanics and Materials , 2013, 241-244: 75-80. [11] 张静. 小样本数据作物模型研究[D]. 合肥:安徽农业大学, 2015. ZHANG J. Research on crop model for small sample size[D]. Hefei: Anhui Agricultural University, 2015. (in Chinese with English abstract) [12] FERREIRA C. Gene expression programming: mathematical modeling by an artificial intelligence[M]. Berlin: Springer, 2006. [13] 元昌安. 基于GEP函数发现的智能模型库关键技术研究[D]. 成都:四川大学,2006. YUAN C A. The research on key techniques in intelligent model base based on function finding by GEP[D]. Chengdu: Sichuan University, 2006. (in Chinese with English abstract) [14] ZHANG J, JIANG Z H, WANG C S, et al. Modeling and prediction of CO 2 exchange response to environment for small sample size in cucumber[J]. Computers and Electronics in Agriculture , 2014, 108: 39-45. [15] 张德丰. MATLAB神经网络应用设计[M]. 北京:机械工业出版社, 2012. [16] COTTER N E, GUILLERM T J. The CMAC and a theorem of Kolmogorov[J]. Neural Networks , 1992, 5(2): 221-228. [17] LI Y T, GU R R. Modeling flow and sediment transport in a river system using an artificial neural network[J]. Environmental Management , 2003, 31(1): 0122-0134. [18] KODRATOFF Y, MICHALSKI R S. Machine learning: an artificial intelligence approach[M]. Berlin: Springer, 2014. [19] IZAKIAN H, ABRAHAM A. Fuzzy C-means and fuzzy swarm for fuzzy clustering problem[J]. Expert Systems with Applications , 2011, 38(3): 1835-1838. [20] 龚娜, 杨镇, 王娜, 等. 植物内生菌次生代谢产物影响大豆主要性状的灰色关联度分析[J]. 浙江农业学报, 2013, 25(5): 933-937. GONG N, YANG Z, WANG N, et al. Grey correlation analysis of the soybean��s main properties impacted by secondary metabolites of endophyte[J]. Acta Agriculturae Zhejiangensis , 2013, 25(5): 933-937. (in Chinese with English abstract) |