An interactive mathematical modeling model guide designed for beginners and competition users.
👉 Live Website:
https://gloriashang.github.io/ModelGuide/
这是一个面向初学者与数模竞赛场景的 数学建模模型参考页。
它将常见建模方法按问题类型进行整理，帮助用户快速判断：
- 什么时候适合用这个模型
- 典型题目场景是什么
- 核心公式和原理有哪些
- Python 里常用哪些工具
- 论文中这一节应该怎么写
- 常见错误有哪些
这个项目更像一个 数模模型速查表 / 模型学习入口 / 比赛前快速回顾页面。
This project is an interactive model reference page for mathematical modeling, especially useful for:
- beginners learning mathematical modeling methods
- students preparing for modeling competitions
- users who need a quick model lookup before problem solving
It organizes common methods by problem type and helps users quickly understand:
- when to use a model
- typical application scenarios
- core formulas and principles
- Python tools for implementation
- how to write the method section in a paper
- common mistakes to avoid
- Problem-type-based model organization
- Interactive expandable model cards
- Bilingual interface support (Chinese / English)
- Light / dark mode toggle
- Structured model notes for learning and quick review
- Beginner-friendly layout for competition use
This project currently includes major modeling families such as:
- Prediction
- Classification
- Statistical Analysis
- Evaluation
- Optimization
- Dynamic Systems
Typical models include:
- Linear Regression
- ARIMA
- Grey Prediction GM(1,1)
- Logistic Regression
- Random Forest
- SVM
- PCA
- AHP
- TOPSIS
- Entropy Weight Method
- Linear Programming
- Integer Programming
- Genetic Algorithm
- ODE / SIR / Markov Chain / Cellular Automata
This guide is especially helpful for:
- quickly reviewing common models before competitions
- deciding which method may fit a given problem
- building intuition for mathematical modeling
- supporting paper writing and implementation planning
- HTML
- CSS
- JavaScript
- GitHub Pages
Possible next steps include:
- adding more models and examples
- expanding bilingual explanations
- adding case-based navigation
- integrating code templates
- improving model comparison and recommendation logic
GloriaShang
This project is not just a static webpage.
It is a lightweight mathematical modeling model reference system that combines:
- learning
- quick lookup
- competition review
- structured modeling guidance
If you find it helpful, feel free to star the repository.