[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fXBhGYOdfuhlzPDu3PvGu2Mfu1BhYO23DpIejw6xc1D4":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":15,"related":16,"source":26,"type":27},[],"2026-05-01 08:28:21",1096951240,[8,9,10,11],"自然语言处理、语言信息处理、计算语言学相互独立,没有交叉","人类通过视觉、听觉感知承载语言的图像和声音信号,再经过大脑加工和抽象后,才能形成语言信息","语言智能属于&quot;认知智能&quot;的研究范畴","语言不是一种感知信号,而是感知信号的经大脑处理后的某种抽象表示",{"courseImg":13,"courseName":14},"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff4e4dd841924a91dc656054650011ffd.jpeg","人工智能基础导学","下列说法错误的是",[17,28,36,45,54,63,72,77,86,95],{"answer":18,"createTime":5,"id":19,"options":20,"question":25,"source":26,"type":27},[],1096950971,[21,22,23,24],"对部分数据引入监督","方法丰富、研究充分、性能好、成本高","方法简单、数据成本低、性能难以提升","以上都不是","描述弱监督的是","v2",0,{"answer":29,"createTime":5,"id":30,"options":31,"question":34,"source":26,"type":35},[],1096950986,[32,33],"对","错","&quot;自然语言处理&quot;、&quot;语言信息处理&quot;、&quot;计算语言学&quot;三者之间无交叉关联",3,{"answer":37,"createTime":5,"id":38,"options":39,"question":44,"source":26,"type":27},[],1096951001,[40,41,42,43],"启发函数可以衡量两个状态孰优孰劣","启发式函数是主观上的评价,并在不同任务上有不同表示方法","启发式函数只有一种量化方法","大多数启发式搜索都有启发函数","关于启发式搜索的说法正确的是",{"answer":46,"createTime":5,"id":47,"options":48,"question":53,"source":26,"type":27},[],1096951046,[49,50,51,52],"具有多个输入端,每个输入端具相同的权重","神经元具有Sigmoid或者类似的可导激活函数","神经元能够根据误差信号,通过梯度下降法调整权重,实现学习","具有一个或多个输出端,输出端上的信号一致","标准神经元模型,不包括什么特点",{"answer":55,"createTime":5,"id":56,"options":57,"question":62,"source":26,"type":27},[],1096951054,[58,59,60,61],"OWL在工程实现上接近完美,但在逻辑上却过于复杂","语义web相继衍生出了&quot;RDF资源描述框架&quot;和&quot;OWL网络本体语言&quot;等新的框架","从linkded data开始,语义web开始进入&quot;弱语义&quot;的阶段","知识图谱包括知识抽取、知识表示、知识融合、知识推理等技术","下列说法错误的是()",{"answer":64,"createTime":5,"id":65,"options":66,"question":71,"source":26,"type":27},[],1096951065,[67,68,69,70],"Horn子句中的无头子句,用来表示事实:a_1&larr;;a_2&larr;","可以按照从左到右的顺序以及归结","只包含一个代表结论的正文字","Horn子句中的规则子句,用来表示推理规则:a&larr;b_1&cap;b_2&cap;b_3&cap;&hellip;&cap;b_n","以下关于Horn子句的说法不正确的是( )",{"answer":73,"createTime":5,"id":74,"options":75,"question":76,"source":26,"type":35},[],1096951071,[32,33],"演绎更适合人类推理",{"answer":78,"createTime":5,"id":79,"options":80,"question":85,"source":26,"type":27},[],1096951092,[81,82,83,84],"BP算法的提出很好地解决了&quot;多层&quot;问题","2001年互联网泡沫破裂导致许多人工神经网络的研究被迫中断","LeCun将BP算法应用于神经网络的训练,并提出了卷积神经网络的第一个正式模型&mdash;&mdash;LeNet-5","九十年代中期提出的SVM算法取代神经网络算法成为主流","下列关于人工神经网络发展历程不正确的是()",{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":26,"type":27},[],1096951132,[90,91,92,93],"实体识别与链接","利用符号的方法","基于机器学习的推理","基于符号的推理","不属于知识图谱推理技术的是( )",{"answer":96,"createTime":5,"id":97,"options":98,"question":99,"source":26,"type":35},[],1096951136,[32,33],"一个已知为真的事实集,其内部不包含矛盾"]