Summary of Application Of Unsupervised Artificial Neural Network (ann) Self_organizing Map (som) in Identifying Main Car Sales Factors, by Mazyar Taghavi
Application of Unsupervised Artificial Neural Network (ANN) Self_Organizing Map (SOM) in Identifying Main Car Sales Factors
by Mazyar Taghavi
First submitted to arxiv on: 29 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research combines fuzzy Delphi technique with self-organizing map (SOM) artificial neural network method to identify the most influential factors affecting Iranian customers’ buying decision making in passenger car markets. Experts were first asked to rank key factors, followed by an analysis of questionnaire data using SOM. MATLAB was employed for network development and training. The study reveals that four specific factors have a more significant impact on customer decisions, differing from expert rankings. This knowledge can inform manufacturers to focus on crucial aspects, potentially increasing sales. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A group of experts in passenger car marketing ranked the most important factors affecting customers’ buying decisions. Then, they looked at answers from questionnaires and used a special kind of computer program called self-organizing map (SOM) to find out which factors mattered the most. The researchers adjusted their study using fuzzy tools to make it more realistic. They used MATLAB to develop and train the network. The results show that four specific things are really important for customers, but they’re different from what the experts thought. This information can help car manufacturers focus on what matters most and sell more cars. |
Keywords
* Artificial intelligence * Neural network
