generalized model

简明释义

综合模型

英英释义

例句

1.In machine learning, a generalized model 广义模型 can adapt to various datasets without overfitting.

在机器学习中，广义模型能够适应各种数据集而不至于过拟合。

2.The generalized model 广义模型 helps in understanding complex systems by simplifying their interactions.

这个广义模型通过简化复杂系统的相互作用来帮助理解这些系统。

3.Using a generalized model 广义模型 allows scientists to make predictions in various fields such as biology and economics.

使用广义模型使科学家能够在生物学和经济学等多个领域进行预测。

4.The researchers developed a generalized model 广义模型 to predict consumer behavior across different demographics.

研究人员开发了一个广义模型来预测不同人群的消费者行为。

5.The generalized model 广义模型 incorporates multiple variables to enhance accuracy in forecasts.

这个广义模型结合了多个变量，以提高预测的准确性。

作文

In the realm of scientific research and data analysis, the concept of a generalized model plays a crucial role in understanding complex systems. A generalized model is an abstraction that seeks to capture the essential features of a system while ignoring the less significant details. This approach allows researchers to create a simplified representation of reality, which can be used to predict outcomes, test hypotheses, and gain insights into the underlying mechanisms at play.One of the primary advantages of employing a generalized model is its ability to generalize findings across different contexts. For instance, in the field of economics, a generalized model can be used to analyze market behaviors and predict future trends based on historical data. By focusing on the overarching principles that govern economic interactions, economists can develop theories that apply to various markets and situations, rather than being limited to specific instances.Similarly, in the field of biology, a generalized model can help researchers understand the dynamics of ecosystems. By creating a model that captures the interactions between different species and their environment, scientists can make predictions about how changes in one part of the ecosystem might affect the whole. This is particularly important in conservation efforts, where understanding the interconnectedness of species is vital for effective management strategies.However, it is essential to recognize the limitations of generalized models. While they provide valuable insights, they can also oversimplify complex realities. For example, a generalized model in climate science may not account for local variations in weather patterns, leading to inaccurate predictions in specific regions. Therefore, researchers must carefully consider the assumptions and simplifications inherent in their models, ensuring that they remain relevant and accurate.Moreover, the development of a generalized model often requires a deep understanding of the system being studied. Researchers must gather data, identify key variables, and establish relationships between them. This process can be time-consuming and requires a combination of theoretical knowledge and empirical evidence. Additionally, as new data becomes available or as systems evolve, generalized models may need to be revised or updated to maintain their accuracy and relevance.In conclusion, the use of a generalized model is a powerful tool in various fields of study, allowing researchers to simplify complex systems and derive meaningful insights. By capturing the essential features of a system, generalized models enable predictions and inform decision-making processes. However, it is crucial to acknowledge their limitations and the need for continuous refinement as new information emerges. Ultimately, the successful application of a generalized model hinges on a careful balance between simplification and accuracy, ensuring that researchers can navigate the complexities of the real world effectively.

在科学研究和数据分析领域，广义模型的概念在理解复杂系统中发挥着至关重要的作用。广义模型是一种抽象，旨在捕捉系统的基本特征，同时忽略不太重要的细节。这种方法使研究人员能够创建现实的简化表示，可以用于预测结果、测试假设并深入了解潜在机制。采用广义模型的主要优势之一是其能够在不同背景下推广发现。例如，在经济学领域，广义模型可用于分析市场行为，并根据历史数据预测未来趋势。通过关注支配经济互动的总体原则，经济学家可以发展适用于各种市场和情况的理论，而不是局限于特定实例。同样，在生物学领域，广义模型可以帮助研究人员理解生态系统的动态。通过创建一个捕捉不同物种与环境之间相互作用的模型，科学家可以预测生态系统某一部分的变化可能如何影响整个生态系统。这在保护工作中尤为重要，因为了解物种之间的相互联系对有效管理策略至关重要。然而，必须认识到广义模型的局限性。虽然它们提供了宝贵的见解，但也可能会过于简化复杂的现实。例如，气候科学中的广义模型可能无法考虑天气模式的局部变化，从而导致特定地区的预测不准确。因此，研究人员必须仔细考虑其模型固有的假设和简化，确保它们保持相关性和准确性。此外，开发广义模型通常需要对所研究系统的深刻理解。研究人员必须收集数据、识别关键变量并建立它们之间的关系。这个过程可能耗时，并且需要理论知识和实证证据的结合。此外，随着新数据的出现或系统的演变，广义模型可能需要修订或更新，以保持其准确性和相关性。总之，使用广义模型是各个研究领域中的一种强大工具，使研究人员能够简化复杂系统并得出有意义的见解。通过捕捉系统的基本特征，广义模型使预测成为可能，并为决策过程提供信息。然而，至关重要的是要承认它们的局限性以及随着新信息的出现而不断完善的必要性。最终，广义模型成功应用的关键在于简化与准确性之间的谨慎平衡，确保研究人员能够有效应对现实世界的复杂性。