[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fIT_7PpQHmDdc0CT5Lh-XrzDwmKQ13uuNzFUSkCJa7gc":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":29,"type":30},[],"2023-05-07 18:05:54",4683445,[8,9,10,11],"蕴涵运算中,若A为真,则当B为真时,A → B为真,B为假时,A → B为假","蕴涵运算中,若A为假,则不论B为真或假,A → B都为真","吸收运算中,A∨(A∧B)=A,A∧(A∨B)=B","互补律中,A∧(¬A)=0,A∨(¬A)=1",{"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","3146935","人工智能导论教程考试","下列运算规律错误的是:( )",[20,31,40,49,58,67,76,85,88,97],{"answer":21,"createTime":5,"id":22,"options":23,"question":28,"source":29,"type":30},[],4682406,[24,25,26,27],"卷积神经网络网络一般有输入层、隐藏层、输出层组成","卷积神经网络的输入层一般包含包含卷积层、池化层和全连接层3类常见构筑","卷积神经网络的卷积层的功能是对输入数据进行特征提取,池化层的作用是降低特征的维度,进而减小参数量,减少过拟合","卷积神经网络的全连接层的作用是分类","下列关于卷积神经网络(CNN)的说法中,错误的有( )","v2",0,{"answer":32,"createTime":5,"id":33,"options":34,"question":39,"source":29,"type":30},[],4682602,[35,36,37,38],"知识图谱具有图和谱的双重特性","知识图谱的边可以是实体或者属性值","图用于直观、形象的展示内容","知识图谱的核心是"实体-关系-实体"","下列关于知识图谱的说法中,错误的是( )",{"answer":41,"createTime":5,"id":42,"options":43,"question":48,"source":29,"type":30},[],4682645,[44,45,46,47],"脑机接口系统一般包括信号采集、信号处理两大部分","脑机接口是大脑与外部设备间通过脑电信号建立起的一种通讯控制系统","脑机接口系统依赖于神经系统和肌肉组织的交流","信号采集主要对脑电信号进行滤波,除掉干扰噪声等","下列关于脑机接口的说法中,错误的是( )",{"answer":50,"createTime":5,"id":51,"options":52,"question":57,"source":29,"type":30},[],4682762,[53,54,55,56],"感知机由输入层和输出层组成","感知机的本质是一种适合用于将某些数据分为两种类型的线性分类模型","感知机可以对异或问题进行求解","感知机是最简单的人工神经网络模型","下面关于感知机的说法中,错误的是( )",{"answer":59,"createTime":5,"id":60,"options":61,"question":66,"source":29,"type":30},[],4683066,[62,63,64,65],"额叶-- 听觉、语言、记忆等","顶叶-- 躯体运动、语言、高级思维等,与智力和精神活动有密切关系","枕叶-- 视觉信息的整合等","颞叶-- 躯体感觉、语言等","下列功能解释正确的是( )",{"answer":68,"createTime":5,"id":69,"options":70,"question":75,"source":29,"type":30},[],4683391,[71,72,73,74],"感知机不能求解异或问题既是感知机的缺陷,也是在历史上导致人工神经网络陷入低潮的主要原因","传统的BP网络一般都选用二级网络,结点的激励函数要求是可积的,通常选S型","隐层数及隐层神经元数的确定:目前尚无理论指导","人工神经网络是深度神经网络的基础,深度神经网络是深度学习的模型基础","下列描述正确的是:( )",{"answer":77,"createTime":5,"id":78,"options":79,"question":84,"source":29,"type":30},[],4683426,[80,81,82,83],"可观察性","一般性","可区分性","相似性","模式的三个直观特性不包括:( )",{"answer":86,"createTime":5,"id":6,"options":87,"question":18,"source":29,"type":30},[],[8,9,10,11],{"answer":89,"createTime":5,"id":90,"options":91,"question":96,"source":29,"type":30},[],4683983,[92,93,94,95],"这种人工突触提高了计算机模拟人脑的效率,有力地促进了该领域的发展","它就像真的突触一样,但它的确是人工设计的有机电子器件,这是一种此前没有出现的崭新的器件","此外,这种器件在很多关键参数上也优于无机器件","该种新型人工突触不但成功地模仿了人脑中的突触传递信号的方式,但是能效不能超过了传统计算机","以下关于人造突触说法不正确的是( )",{"answer":98,"createTime":5,"id":99,"options":100,"question":105,"source":29,"type":30},[],4683990,[101,102,103,104],"系统不依赖神经系统与肌肉组织的交流和控制通路,在大脑与设备间建立直接的通信,为大脑提供了一种全新的对外交流通道","脑-机接口"是不依赖于脑的正常输出通路(即:外周神经和肌肉)的脑-机(计算机或其它装置)通讯系统.通过这个通道,可以将大脑活动的信息(例如与事件相关的诱发响应,甚至自主的意识、情感等信息)直接传出来,并由此实现相应的控制","让外界信息(例如声音或某种电刺激)直接传入大脑.这种脑-机直接交互的方法为认知和新型智能系统的研究提供了新的思路.也是一种重要的混合智能技术","脑机接口是大脑与计算机间通过脑电信号建立起的一种通讯接口","关于脑机接口,以下说法不正确的是( )"]