Learning the BN Structure Based on the Sum of Mutual Information

The Crossing Entropy is defined to scale the similar level of two probability distribution. In many papers on learning BN structure,the Crossing Entropy was used as an indicator of measuring the learning accuracy of an algorithm.The known scoring metrics for learning BN structure is analyzed in this paper,then a new scoring metrics Sum of Mutual Information is proposed based on the information theory.At last,two algorithm for learning BN structure by SIM is represented.     

基于深度信念网络的猪咳嗽声识别

为了在生猪养殖产生呼吸道疾病的初期,通过监测猪咳嗽声进行疾病预警,提出了基于深度信念网络(DBN)对猪咳嗽声进行识别的方法。以长白猪咳嗽、打喷嚏、吃食、尖叫、哼哼、甩耳朵等声音为研究对象,利用基于多窗谱的心理声学语音增强算法和单参数双门限端点检测对猪声音进行预处理,实现猪声音信号的去噪和有效信号检测。基于时间规整算法提取300维短时能量和720维梅尔频率倒谱系数(MFCC)组合成1020维特征参数,将该组合特征参数作为DBN学习和识别数据集,选定3隐层神经元个数分别为42、17和7,构建网络结构为1020-42-17-7-2的5层深度信念网络猪咳嗽声识别模型。通过5折交叉实验验证,基于DBN的猪咳嗽声识别率和总识别率均达到90%以上,误识别率不超过8.07%,最优组猪咳嗽声识别率达到94.12%,误识别率为7.45%,总识别率达到93.21%。进一步基于主成分分析法(PCA)提取1020维特征参数98.01%主成分得到479维特征参数,通过5折交叉实验验证,猪咳嗽声识别率和总识别率相对降维前均有所提高,误识别率有所降低,最优组猪咳嗽声识别率达到95.80%,误识别率为6.83%,总识别率达到94.29%,实验结果表明所建模型是有效可行的。     

狐信仰兴衰原因的民俗学研究

狐信仰是中国传统民间信仰之一, 它历史悠久, 深入民间。它的萌芽、发展、兴盛、衰败影响中国文化几千年, 作为一种民间信仰, 它的兴盛和衰败原因都是值得我们探讨的, 本文主要从社会文化和民众心理角度分析了狐信仰的兴衰原因, 并就近年来狐信仰的复兴提出了文化层面的解释。     

对当前大学生马克思主义信仰状况的理性思考

大学生马克思主义信仰教育是大学生思想政治教育的根本任务和崇高使命,为了检验大学生马克思主义信仰教育的效果,思想政治教育工作者对大学生马克思主义信仰状况开展调查和研究。“危机论”是众多思想政治教育工作者对当前大学生马克思主义信仰状况的基本观点,但是多数大学生的现实表现并不符合“危机论”。对产生“危机论”的原因进行分析和批判、重新对大学生马克思主义信仰状况进行科学判断可以深化对大学生马克思主义信仰的认识,弄清楚大学生马克思主义信仰状况,推进大学生马克思主义信仰教育与时俱进。     

当代大学生宗教信仰状况探析

通过对当代大学生的宗教信仰状况的问卷调查,总结出当代大学生宗教信仰的特点并分析其原因,寻找解决问题的路径.     

论加强大学生党员的教育

大学生是党和社会主义建设的后备人才，因此，必须对他们加强马克思主义理论的教育。理论联系实际地组织学习，坚固他们共产主义信念。     

哈萨克族的草原游牧文化(Ⅰ)——哈萨克族的形成、分布及宗教信仰

研究哈萨克族的游牧文化对保护西北草原生态环境、巩固民族团结、促进少数民族地区经济发展和中华民族和谐统一具有十分重要的意义。哈萨克族是由古代许多部落和部族不断分化并逐步融合而成的,最主要的族源应是6世纪出现在汉文史籍中的"可萨",塞种、乌孙、匈奴、康居、可萨和突厥等是哈萨克族较早的民族源流。哈萨克语属阿尔泰语系突厥语族克普恰克语支,保留了丰富的古代突厥语词汇。哈萨克分布在世界40多个国家和地区,但至今没有任何方言。中国的哈萨克族主要分布在新疆北疆地区,且甘肃、青海都有分布。哈萨克先民曾使用过回鹘文等多种文字,现使用以阿拉伯字母为基础的拼音文字。历史上哈萨克族信仰过拜物教、萨满教、佛教、景教,最后信奉的是伊斯兰教,接受了伊斯兰文化。     

朱熹思想体系中的知识与人文信仰

在继承北宋五子对信仰与知识加以联系并解构的同时，朱熹着力于更加逻辑与严密地论述了知识与人文信仰二者之间的关联。在知识与人文信仰的关系中，朱熹认为信仰以知识为基础，知识以信仰为依据。扩充知识是完善信仰的过程，它指向的是可能性目的；具有信仰是获得知识的依据，它指向的是必然性原因。     

Research of dissolved oxygen prediction in recirculating aquaculture systems based on deep belief network

Recirculating aquaculture has received more and more attention because of its high efficiency of treatment and recycling of aquaculture wastewater. The content of dissolved oxygen is an important indicator of control in recirculating aquaculture, its content and dynamic changes have great impact on the healthy growth of fish. However, changes of dissolved oxygen content are affected by many factors, and there is an obvious time lag between control regulation and effects of dissolved oxygen. To ensure the aquaculture production safety, it is necessary to predict the dissolved oxygen content in advance. The prediction model based on deep belief network has been proposed in this paper to realize the dissolved oxygen content prediction. A variational mode decomposition (VMD) data processing method has been adopted to evaluate the original data space, it takes the data which has been decomposed by the VMD as the input of deep belief network (DBN) to realize the prediction. The VMD method can effectively separate and denoise the raw data, highlight the relations among data features, and effectively improve the quality of the neural network input. The proposed model can quickly and accurately predict the dissolved oxygen content in time series, and the prediction performance meets the needs of actual production. When compared with bagging, AdaBoost, decision tree and convolutional neural network, the VMD-DBN model produces higher prediction accuracy and stability.     

Biodiversity in sacred urban spaces of Bengaluru,India

Urban green spaces provide critical social and ecological support for cities, but we know little about their diversity and composition in cities of the Global South. This is especially true of lesser known urban spaces such as sacred sites, which are of important cultural and biodiversity significance. We examine tree diversity and composition in sacred sites in Bengaluru, one of India’s fastest growing cities. We recorded 5504 trees from 93 species across 62 temples, churches, and Hindu, Christian and Muslim cemeteries in central areas of Bengaluru. Over half (52%) of the tree species were of native origin, a much higher proportion when compared to other green spaces in the city such as parks. Tree density in sacred sites was much higher than that in parks and informal settlements in Bengaluru. Temples and Hindu cemeteries contained the highest proportion of native species, with large numbers of Ficus benghalensis, a keystone sacred species. Trees in sacred spaces provide an important buffer against urban environmental stress in Indian cities, and serve as refuges for urban wildlife and biodiversity. We need greater information on these lesser known, but culturally significant alternate spaces. They play an important, though ignored role in the environmental sustainability of rapidly growing cities in the Global South.