Raw Data by Qiang Han, last updated May 6, 2026, is a 94.5 KB CSV file. The dataset was created to investigate the relationship between key process parameters and the yield of Nongxiang Baijiu during the steaming and distillation process. It supports the development of a Random Vector Functional Link Networks ensemble model integrated with Principal Component Analysis and Particle Swarm Optimization for production efficiency.
Use Cases
- Predicting Baijiu yield based on key process parameters mentioned in the description
- Optimizing steaming and distillation process parameters for enhanced production efficiency
- Benchmarking ensemble modeling methods like RVFLNs against other algorithms
- Studying the application of PCA for dimensionality reduction in high-dimensional process data
Strengths
- Dataset is openly licensed under CC-BY-4.0.
- File size is 94.5 KB, indicating a focused and manageable scope for initial analysis.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Qiang Han via figshare
- Collection Method
- Likely contains experimental or production data from the Baijiu steaming and distillation process.
- Time Range
- null
- Freshness
- Last updated 2026-05-06 17:36:02; freshness should be verified.
- Geography
- null