expert system

简明释义

专家系统

英英释义

例句

1.In agriculture, an expert system can advise farmers on the best time to plant crops.

在农业中，专家系统可以建议农民最佳的播种时间。

2.The expert system helped the engineers optimize the design of the new product.

这个专家系统帮助工程师优化新产品的设计。

3.Many financial institutions use an expert system to assess credit risk efficiently.

许多金融机构使用专家系统来高效评估信用风险。

4.The company implemented an expert system to assist in diagnosing mechanical failures in their machinery.

公司实施了一个专家系统来帮助诊断其机械设备的故障。

5.An expert system can provide recommendations for treatment based on a patient's symptoms.

一个专家系统可以根据患者的症状提供治疗建议。

作文

In the rapidly evolving world of technology, the term expert system (专家系统) has gained significant traction. An expert system is a computer program that simulates the decision-making ability of a human expert. These systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if-then rules. They have been widely used in various fields such as medicine, engineering, and finance, where expert knowledge is essential for making critical decisions.One of the most notable applications of expert systems (专家系统) is in the medical field. For instance, diagnostic systems can analyze patient symptoms and medical history to suggest possible diseases or conditions. This not only aids doctors in their diagnosis but also ensures that patients receive timely and accurate treatment. By leveraging the vast amount of medical knowledge encoded within an expert system, healthcare providers can enhance their diagnostic capabilities and ultimately improve patient outcomes.In engineering, expert systems (专家系统) play a crucial role in design and troubleshooting. For example, in the manufacturing sector, these systems can assist engineers in identifying faults in machinery and suggesting optimal solutions. By utilizing an expert system, companies can reduce downtime and maintenance costs, leading to increased productivity and efficiency.The financial industry has also embraced expert systems (专家系统) to aid in investment decisions and risk management. Financial analysts can use these systems to evaluate market trends and make predictions based on historical data. This enables investors to make informed decisions, minimizing risks and maximizing returns. With the ever-increasing complexity of financial markets, the reliance on expert systems has become indispensable.Despite their advantages, expert systems (专家系统) also face challenges. One major issue is the knowledge acquisition process, which involves gathering and structuring expert knowledge into a format that the system can understand. This process can be time-consuming and requires collaboration between domain experts and knowledge engineers. Furthermore, expert systems may struggle with ambiguous or incomplete information, leading to less reliable outcomes.Another challenge is the need for continuous updates and maintenance. As fields evolve and new knowledge emerges, expert systems (专家系统) must be regularly updated to remain relevant and effective. This necessitates ongoing collaboration between experts and developers to ensure that the system reflects the latest advancements in the respective field.In conclusion, expert systems (专家系统) represent a significant advancement in the intersection of technology and human expertise. They have transformed various industries by providing support in decision-making processes, enhancing efficiency, and improving outcomes. However, the development and maintenance of these systems require careful consideration of the challenges involved. As technology continues to advance, the potential for expert systems to further revolutionize industries is immense, paving the way for a future where human and machine collaboration reaches new heights.

在快速发展的科技世界中，术语expert system（专家系统）获得了显著的关注。expert system是模拟人类专家决策能力的计算机程序。这些系统旨在通过推理处理知识体，主要以if-then规则表示，从而解决复杂问题。它们已广泛应用于医学、工程和金融等各个领域，在这些领域中，专家知识对于做出关键决策至关重要。expert systems（专家系统）最显著的应用之一是在医疗领域。例如，诊断系统可以分析患者的症状和病史，以建议可能的疾病或状况。这不仅帮助医生进行诊断，还确保患者及时获得准确的治疗。通过利用编码在expert system中的大量医学知识，医疗提供者可以增强其诊断能力，最终改善患者的结果。在工程领域，expert systems（专家系统）在设计和故障排除中发挥着至关重要的作用。例如，在制造业中，这些系统可以协助工程师识别机器故障并提出最佳解决方案。通过利用expert system，公司可以减少停机时间和维护成本，从而提高生产力和效率。金融行业也采用了expert systems（专家系统）来帮助投资决策和风险管理。金融分析师可以使用这些系统评估市场趋势，并根据历史数据做出预测。这使投资者能够做出明智的决策，最大限度地降低风险并提高回报。随着金融市场日益复杂，对expert systems的依赖变得不可或缺。尽管有其优势，expert systems（专家系统）也面临挑战。一个主要问题是知识获取过程，这涉及收集和构建专家知识，以便系统能够理解的格式。这一过程可能耗时，并且需要领域专家与知识工程师之间的协作。此外，expert systems可能会在面对模糊或不完整的信息时遇到困难，从而导致结果的可靠性降低。另一个挑战是需要持续的更新和维护。随着领域的发展和新知识的出现，expert systems（专家系统）必须定期更新，以保持相关性和有效性。这需要专家与开发人员之间的持续合作，以确保系统反映各自领域的最新进展。总之，expert systems（专家系统）代表了技术与人类专业知识交汇处的重大进步。它们通过在决策过程中提供支持、提高效率和改善结果，改变了各行各业。然而，这些系统的开发和维护需要仔细考虑所涉及的挑战。随着技术的不断进步，expert systems进一步革新行业的潜力巨大，为人机合作达到新高度铺平了道路。