大学MOOC 人工智能技术智慧农业应用导论(华南农业大学)1451697174 最新慕课完整章节测试答案

QuizzesforChapter7

1、单选题：
‎Which of the following has been defined with reference to information? ‌‎下列中哪一项是根据信息来定义的？‌
选项：
A: Data数据
B: Information信息
C: Knowledge知识
D: Wisdom智慧
答案: 【 Knowledge知识】

2、单选题：
‏What kind of knowledge will be used to describe how a problem is solved?‍‏哪种知识可用于描述问题如何求解？‍
选项：
A: Declarative knowledge陈述性知识
B: Deep knowledge深层知识
C: Dynamic knowledge动态知识
D: Heuristic knowledge启发性知识
E: Procedural knowledge过程性知识
F: Static knowledge静态知识
答案: 【 Procedural knowledge过程性知识】

3、单选题：
‎Select which of the following approaches are true using first order logic.‎‎选择以下哪种方法可以使用一阶逻辑。‎
选项：
A: Declarative approaches陈述性方法
B: Functional approaches函数型方法
C: Objective approaches对象型方法
D: Procedural approaches过程性方法
答案: 【 Declarative approaches陈述性方法】

4、多选题：
‌Select the following true statements regarding the concept of "semantic network".‎‌选择如下关于“语义网络”概念的正确陈述。‎
选项：
A: It can represent the semantic relations between concepts.可以表示概念之间的语义关系。
B: It can represent large domains, performance or meta-knowledge very well.可以很好地表示大的域、性能或元知识。
C: It can be represented as a directed or undirected graph, consisting of nodes used to represent concepts, and arcs to represent semantic relations between the concepts.可以被表示为一种直接或间接的图，由表示概念的节点和表示概念之间语义关系的弧组成。
D: It can be used when one has knowledge that is best understood as a set of concepts that are related to one another.语义网络可以用于当所具有的知识可被很好地理解为一组彼此相关的概念时。
答案: 【 It can represent the semantic relations between concepts.可以表示概念之间的语义关系。;
It can be represented as a directed or undirected graph, consisting of nodes used to represent concepts, and arcs to represent semantic relations between the concepts.可以被表示为一种直接或间接的图，由表示概念的节点和表示概念之间语义关系的弧组成。;
It can be used when one has knowledge that is best understood as a set of concepts that are related to one another.语义网络可以用于当所具有的知识可被很好地理解为一组彼此相关的概念时。】

5、多选题：
‌Select which of the following statements are true about ontology.‏‌选择下列关于本体的陈述哪些是正确的。‏
选项：
A: An ontology is a formal naming and definition of the types, properties, and interrelationships of the entities for a particular domain of discourse.本体是一种对特定论域中实体的类型、特性和相互关系的形式化命名和定义。
B: An ontology provides a common vocabulary of an area and define the meaning of the terms and the relationships between them.本体提供一个领域的公共词汇，并且定义一些术语的含义和它们之间的关系。
C: Ontologies cannot be created to organize information that will be applied to problem solving.无法创建本体来组织可用于问题求解的信息。
D: Ontologies cannot be divided the types of upper ontology, domain ontology, or hyper ontology.无法将本体分为上层本体、领域本体、或混合本体。
答案: 【 An ontology is a formal naming and definition of the types, properties, and interrelationships of the entities for a particular domain of discourse.本体是一种对特定论域中实体的类型、特性和相互关系的形式化命名和定义。;
An ontology provides a common vocabulary of an area and define the meaning of the terms and the relationships between them.本体提供一个领域的公共词汇，并且定义一些术语的含义和它们之间的关系。】

6、多选题：
​The synonyms of Bayesian networks include:‎​贝叶斯网络的同义词包括：‎
选项：
A: Belief network信念网络
B: Causal network因果网络
C: Computer network计算机网络
D: Neural network神经网络
E: Probabilistic network概率网络
F: Social network社交网络
答案: 【 Belief network信念网络;
Causal network因果网络;
Probabilistic network概率网络】

7、填空题：
​A ______________ system consists of a knowledge base and an inference engine, where knowledge base represents facts about the world, inference engine can reason about those facts.‌​______________系统由知识库和搜索引擎组成，其中，知识库表示关于世界的事实，推理引擎则可以对这些事实进行推理。‌
答案: 【 knowledge base
知识库】

8、填空题：
‍__________ representation focus on designing computer representations that capture knowledge about the world that can be used to solve complex problems. ‌‍__________表示关注于设计计算机表示来采集关于世界的知识，可用于解决复杂的问题。‌
答案: 【 knowledge
知识】

QuizzesforChapter11

1、单选题：
‍Which statement best describes the paradigm of “Supervised learning” in machine learning?‍‍哪一个是机器学习中“有监督学习”范式的准确描述？‍
选项：
A: It aims to learn some information from one, or only a few, training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。
B: It aims to learn some information using a limited amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
C: It is a class of supervised learning that also make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
D: It is able to solve a task despite not having received any training examples of that task.能够求解一个任务，即使没有得到该任务的任何训练样本。
E: It receives a set of labeled data and makes predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。
F: It receives exclusively unlabeled data and makes predictions for all unseen data.仅仅接收未标注数据并对所有的未知数据做出预测。
答案: 【 It receives a set of labeled data and makes predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。】

2、单选题：
​Which statement best describes the paradigm of “semi-supervised learning” in machine learning?‎​哪一个是机器学习中“半监督学习”范式的准确描述？‎
选项：
A: It aims to learn some information from one, or only a few, training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。
B: It aims to learn some information using a limited amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
C: It is a class of supervised learning that also make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
D: It is able to solve a task despite not having received any training examples of that task.能够求解一个任务，即使没有得到该任务的任何训练样本。
E: It receives a set of labeled data and makes predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。
F: It receives exclusively unlabeled data and makes predictions for all unseen data.仅仅接收未标注数据并对所有的未知数据做出预测。
答案: 【 It is a class of supervised learning that also make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。】

3、单选题：
‍Which statement best describes the paradigm of “unsupervised learning” in machine learning?‍‍哪一个是机器学习中“无监督学习”范式的准确描述？‍
选项：
A: It aims to learn some information using a limited amount of training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。
B: It aims to learn some information using a limited amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
C: It is a class of supervised learning that also make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
D: It is able to solve a task despite not having received any training examples of that task.能够求解一个任务，即使没有得到该任务的任何训练样本。
E: It receives a set of labeled data and makes predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。
F: It receives exclusively unlabeled data and makes predictions for all unseen data.仅仅接收未标注数据并对所有的未知数据做出预测。
答案: 【 It receives exclusively unlabeled data and makes predictions for all unseen data.仅仅接收未标注数据并对所有的未知数据做出预测。】

4、单选题：
‎Which statement best describes the paradigm of “weakly supervised learning” in machine learning?‍‎哪一个是机器学习中“弱监督学习”范式的准确描述？‍
选项：
A: It aims to learn some information from one, or only a few, training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。
B: It aims to learn some information using a limited amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
C: It is a class of supervised learning that also make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
D: It is able to solve a task despite not having received any training examples of that task.能够求解一个任务，即使没有得到该任务的任何训练样本。
E: It receives a set of labeled data and makes predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。
F: It receives exclusively unlabeled data and makes predictions for all unseen data.仅仅接收未标注数据并对所有的未知数据做出预测。
答案: 【 It aims to learn some information using a limited amount of training examples.旨在采用有限数量的训练样本来学习一些信息。】

5、单选题：
‎Which statement best describes the paradigm of “one-shot learning” in machine learning?​‎哪一个是机器学习中“一次性学习”范式的准确描述？​
选项：
A: It aims to learn some information from one, or only a few, training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。
B: It aims to learn some information using a limited amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
C: It is a class of supervised learning that also make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
D: It is