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Recent advancements in graph theory and machine learning are explored through ten distinct sections, each representing an unpublished manuscript. The book highlights significant contributions in chemical graph theory, coloring theory, and their applications in engineering. These findings not only enrich the discipline but also provide valuable insights for practical applications.
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Results on Graph Theory and Machine Learning in 2019, Wei Gao
- Language
- Released
- 2019
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- (Paperback)
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- Title
- Results on Graph Theory and Machine Learning in 2019
- Language
- English
- Authors
- Wei Gao
- Publisher
- LAP LAMBERT Academic Publishing
- Released
- 2019
- Format
- Paperback
- Pages
- 124
- ISBN13
- 9786200435385
- Category
- Mathematics
- Description
- Recent advancements in graph theory and machine learning are explored through ten distinct sections, each representing an unpublished manuscript. The book highlights significant contributions in chemical graph theory, coloring theory, and their applications in engineering. These findings not only enrich the discipline but also provide valuable insights for practical applications.