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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-ultimate-beginners-guide-to-fuzzy-logic-in-python/
课程评论：没有评论
课程名称：Python模糊逻辑终极入门指南 课程概述：模糊逻辑是一种用于在计算机中模拟人类推理过程的技术。它可应用于多个领域，例如工业自动化、医学、市场营销和家庭自动化等。经典的例子包括工业设备的温度自动调整，随着设备的加热或降温而变化。其他应用示例包括：吸尘器（根据表面和污垢程度调整吸力）、洗碗机和洗衣机（根据使用的水和洗涤剂的量进行调整）、数码相机（自动对焦设置）、空调（根据环境调整温度）和微波炉（根据食物类型调整功率）。 在这门课程中，您将学习模糊逻辑的基本理论，主要是使用skfuzzy库实现简单的模糊系统。所有实现将通过Python编程语言按步骤进行。 课程内容分为三个部分： 第一部分：对模糊逻辑的基本直观理解。学习的主题包括：语言变量、前提、结果、隶属函数、模糊化和去模糊化的数学计算。 第二部分：模糊系统的实现。您将实现两个示例：根据食物的质量和服务质量计算餐厅的提示和，根据表面类型和污垢程度计算吸尘器的吸力。 第三部分：使用模糊C均值算法进行聚类。我们将根据信用卡额度和总账单对银行客户进行聚类。您将理解模糊逻辑如何在机器学习领域中应用。 所有实现将在Google Colab在线进行，因此您无需担心在自己的机器上安装库。课程结束时，您将能够使用模糊逻辑创建自己的项目！
Fuzzy Logic is a technique that can be used to model the human reasoning process in computers. It can be applied to several areas, such as: industrial automation, medicine, marketing, home automation, among others. A classic example is the use in industrial equipments, which can have the temperature automatically adjusted as the equipment heats up or cools down. Other examples of equipments are: vacuum cleaners (adjustment of suction power according to the surface and level of dirt), dishwashers and clothes washing machines (adjustment of the amount of water and soap to use), digital cameras (automatic focus setting), air conditioning (temperature setting according to the environment), and microwave (power adjustment according to the type of food).In this course, you will learn the basic theory of fuzzy logic and mainly the implementation of simple fuzzy systems using skfuzzy library. All implementations will be done step by step using the Python programming language! Below you can see the main content, which is divided into three parts:Part 1: Basic intuition about fuzzy logic. You will learn topics such as: linguistic variables, antecedents, consequent, membership functions, fuzzification and mathematical calculations for defuzzificationPart 2: Implementation of fuzzy systems. You will implement two examples: the calculation of tips that would be given in a restaurant (based on the quality of the food and the quality of service) and the calculation of the suction power of a vacuum cleaner (based on the type of surface and the amount of dirt )Part 3: Clustering with fuzzy c-means algorithm. We will cluster a bank's customers based on the credit card limit and the total bill. You will understand how fuzzy logic can be applied in the area of Machine LearningAll implementations will be done step by step using Google Colab on-line, so you don't need to worry about installing the libraries on your own machine. At the end, you will be able to create your own projects using fuzzy logic!
