expert system

简明释义

专家系统

英英释义

例句

1.An expert system (专家系统) can help in making complex financial decisions by analyzing vast amounts of data.

一个<专家系统>可以通过分析大量数据来帮助做出复杂的财务决策。

2.In agriculture, farmers are using an expert system (专家系统) to optimize crop yields based on soil conditions.

在农业中，农民正在使用<专家系统>根据土壤条件优化作物产量。

3.The medical field is increasingly using an expert system (专家系统) to assist doctors in diagnosing diseases.

医疗领域越来越多地使用<专家系统>来帮助医生诊断疾病。

4.An expert system (专家系统) for troubleshooting can guide technicians through complex repair processes.

用于故障排除的<专家系统>可以指导技术人员完成复杂的维修过程。

5.The customer service department implemented an expert system (专家系统) to handle common inquiries more efficiently.

客户服务部门实施了<专家系统>以更高效地处理常见查询。

作文

In today's rapidly advancing technological landscape, the term expert system refers to a computer program that simulates the judgment and behavior of a human or an organization that has expert knowledge and experience in a particular domain. 专家系统是指一种计算机程序，它模拟在特定领域拥有专业知识和经验的人类或组织的判断和行为。 These systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if-then rules. They can be used in various fields such as medicine, engineering, finance, and customer service.One of the most significant advantages of expert systems is their ability to provide consistent solutions to problems. Unlike human experts who may have varying opinions or make mistakes due to fatigue or emotional factors, 专家系统能够提供一致的解决方案。这种一致性使得这些系统在需要高可靠性的领域（如医疗诊断）中尤为有价值。 For instance, in medical applications, an expert system can analyze symptoms and suggest possible diagnoses based on a vast database of medical knowledge. This not only aids doctors in making informed decisions but also helps in reducing diagnostic errors.Moreover, expert systems can operate continuously without the need for breaks, making them ideal for situations where immediate responses are crucial. In industries like manufacturing, these systems can monitor processes and detect anomalies much faster than human workers. This capability enhances productivity and efficiency, leading to significant cost savings. 专家系统可以不间断地运行，无需休息，非常适合需要快速响应的情况。However, there are challenges associated with the development and implementation of expert systems. One major issue is the knowledge acquisition process. Gathering the necessary information from human experts and encoding it into a format that the system can use is often time-consuming and complex. Additionally, the reliance on predefined rules means that expert systems may struggle with novel situations that fall outside their programmed knowledge base. 另一个主要问题是知识获取过程。收集人类专家所需的信息并将其编码成系统可以使用的格式通常耗时且复杂。Despite these challenges, the future of expert systems looks promising. With advancements in artificial intelligence (AI) and machine learning, these systems are becoming more sophisticated and capable of learning from new data. This evolution allows them to adapt to changing conditions and improve their problem-solving abilities over time. 随着人工智能（AI）和机器学习的进步，这些系统变得更加复杂，能够从新数据中学习。In conclusion, expert systems represent a significant leap in the integration of technology and human expertise. They offer valuable support across various industries by providing consistent, efficient, and accurate solutions to complex problems. As technology continues to evolve, the potential applications and effectiveness of 专家系统 will undoubtedly expand, paving the way for a future where humans and machines work together more seamlessly than ever before. 专家系统代表了技术与人类专业知识结合的重要飞跃。