[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f03WftfHEYkhPsFmTFC-pz67Db2_5wpJRM9t30Xcvhfw":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":30,"type":59},[],"2023-05-07 17:32:07",11011897,[8,9,10,11],"支持向量机的方法适用于高维空间,并且可以有效地用于小型数据集","KNN最近邻法中,在分类时较大的K值能够减小噪声的影响,使类别之间的界限变得清晰","决策树学习的目的是处理未见示例能力强的决策树","朴素贝叶斯是一种允许以简单直接的方式构建分类器的方法",{"courseId":13,"courseImg":14,"courseName":15,"workId":16,"workName":17},"1000009025","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff54758487d8301812024ebde85c2bf0d.jpg","人工智能导论","6313152","人工智能导论教程考试","下列有关监督学习分类方法的说法错误的是( )",[20,32,41,50,60,69,78,87,90,99],{"answer":21,"createTime":5,"id":22,"options":23,"question":29,"source":30,"type":31},[],11011762,[24,25,26,27,28],"研发基于生物神经元原理的神经形态模型","利用新型电子元件忆阻器模拟生物神经元","基于脑科学大数据开发虚拟人工大脑","基于已知脑功能模型设计仿脑模型","基于深度学习技术模拟人脑智能","类脑计算的主要方法有( )","v2",1,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],11011808,[36,37,38,39],"人工智能是为了开发一类计算机使之能够完成通常由人类所能做的事","人工智能是研究和构建在给定环境下表现良好的智能体程序","人工智能是通过机器或软件展现的智能","人工智能将其定义为人类智能体的研究","下列关于人工智能概念的正确表述( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],11011852,[45,46,47,48],"按照不同的学习理论划分,机器学习模型可以分为有监督学习、半监督学习、无监督学习以及强化学习等不同类型","在实际应用中,机器学习主要以无监督学习或半监督学习方式为主","监督学习的监督体现在所有机器要处理的数据实现都要由人为定义好相应的类别,再对分类算法进行训练,最后得到可以使用的分类器","有监督学习的数据集有标签,无监督相比于有监督,没有训练过程,而是直接拿数据进行建模分析","下面关于机器学习的说法中,正确的有( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":59},[],11011855,[54,55,56,57],"可以通过索引和并行处理提高处理速度","可以采用最佳匹配推理","目前还不能进行专业性的翻译","机器翻译系统的知识可以移植、共享","以下有关机器翻译的说法错误的是( )",0,{"answer":61,"createTime":5,"id":62,"options":63,"question":68,"source":30,"type":31},[],11011869,[64,65,66,67],"机械式机器人","程序控制机器人","自适应机器人","智能机器人","机器人发展经历了哪几代( )",{"answer":70,"createTime":5,"id":71,"options":72,"question":77,"source":30,"type":31},[],11011872,[73,74,75,76],"图像分割","图像识别","图像整合","运动目标检测与追踪","机器人视觉系统涉及到的图像处理关键技术有:( )",{"answer":79,"createTime":5,"id":80,"options":81,"question":86,"source":30,"type":31},[],11011888,[82,83,84,85],"人工智能的依附载体是机器,就像人和动物有一个身体一样,机器就是人工智能的&quot;身体&quot;有&quot;身体&quot;的机器会像人或动物一样有感知、认知、语言、行为等多样的智能","相对于人或动物的智能而言,机器的智能不是自然进化产生的,而是人工创造的","从人与机器的智能产生机制角度看,机器依托非自然的机制可以产生不同于人类的智能甚至智慧","非自然智能或非生物智能称为人工智能,相对于自然智能而言,以人类制造或发明的机器为载体实现的非生命智能称为机器智能","以下关于人工智能和机器智能说法正确的是( )",{"answer":88,"createTime":5,"id":6,"options":89,"question":18,"source":30,"type":59},[],[8,9,10,11],{"answer":91,"createTime":5,"id":92,"options":93,"question":98,"source":30,"type":59},[],11011904,[94,95,96,97],"从一般到个别","从个别到一般","从个别到个别","从一般到一般","归纳推理是( )的推理",{"answer":100,"createTime":5,"id":101,"options":102,"question":107,"source":30,"type":31},[],11011912,[103,104,105,106],"大量高质量的数据和知识","强大的自然语言处理技术","强大的机械语言处理技术","需要大量的标准训练语料","智能问答系统主要依靠的关键基础和技术包括以下哪些选项?( )"]