分享興趣，傳播快樂，
增長見聞，留下美好。
親愛的您，
這裡是LearingYard學苑！
今天小編為大家帶來《基于ACO-SVM算法的供應鍊風險預警研究》精讀。
歡迎您的用心通路！
本期推文閱讀時長大約5分鐘，請您耐心閱讀。
Share interest, spread happiness,
increase knowledge, and leave beautiful.
Dear you,
this is the LearingYard Academy!
Today, the editor brings intensive reading of
"Research on Supply Chain Risk Early Warning Based on ACO-SVM algorithm".
Welcome your visit!
The reading time of this tweet is about 5 minutes, please read it with patience.
今天小編将從思維導圖、精讀内容、知識補充三個闆塊為大家帶來《基于ACO-SVM算法的供應鍊風險預警研究》題目、摘要、關鍵詞。
Today, I will bring you the title, abstract and keywords of "Research on Supply Chain Risk Early Warning Based on ACO-SVM algorithm" from three sections of mind map, intensive reading content and knowledge supplement.
01思維導圖
02精讀内容
一、題目
1. Title
基于ACO-SVM算法的供應鍊風險預警研究
Research on Supply Chain Risk Early Warning Based on ACO-SVM algorithm
二、摘要
2. Summary
研究背景：近幾年來，由于交通以及資訊等技術的快速發展，使得企業之間的聯系更加緊密且快捷，加上宏觀環境的持續波動，造成了企業所面臨的供應鍊風險來源更加繁雜，供應鍊風險以更快的速度在動态變更着。供應鍊是一個系統，節點上任何一個環節出現偏差都将可能引起供應鍊整體的波動，造成損失。
Background: In recent years, the rapid development of transportation and information technology has led to closer and faster connections between enterprises. The supply chain is a system, and any deviation at a node may cause fluctuations in the overall supply chain, resulting in losses.
研究對象：供應鍊風險預警
Research Subject: Supply Chain Risk Warning
文章工作介紹：
Article Description:
三、關鍵詞
3. Key words
供應鍊風險：
Supply chain risk:
風險預警：
Risk Warning:
支援向量機：
Support vector machines:
蟻群算法：
Ant colony algorithm:
模糊推理：
Fuzzy reasoning:
03知識補充
蟻群算法通俗了解：
The ant colony algorithm is commonly understood as:
今天的分享就到這裡了。
如果您對今天的文章有獨特的想法,
歡迎給我們留言，
讓我們相約明天。
祝您今天過得開心快樂！
That's all for today's sharing.
If you have a unique idea for today’s article,
please leave us a message,
and let us meet tomorrow.
I wish you a nice day !
參考資料：Deepl、CSDN、百度
參考文獻：
[1]張振強. 基于ACO-SVM算法的供應鍊風險預警研究 [D]. 福州大學, 2016.
本文由LearningYard學苑原創，如有侵權請在背景留言！
文字|Zheng
排版|Zheng
稽核|wang