Home > Soft Computing: Theories and Applications: Proceedings of SoCTA 2021 > A Novel Heart Disease Prediction Approach Using the Hybrid Combination of GA, PSO, and CNN
Springer Nature Singapore
A Novel Heart Disease Prediction Approach Using the Hybrid Combination of GA, PSO, and CNN
Chapter Info
Authors
ARI Id
1665391175134_6218520
Access
Not Available Free
Pages
403-414
DOI
Chapter URL
https://rd.springer.com/chapter/10.1007/978-981-19-0707-4_37
Table of Contents of Book
Showing 1 to 20 of 88 entries
Chapters/Headings | Author(s) | Pages | Info |
i-xxix | |||
1-13 | |||
15-24 | |||
25-32 | |||
33-44 | |||
45-52 | |||
53-58 | |||
59-68 | |||
69-79 | |||
81-90 | |||
91-99 | |||
101-112 | |||
113-123 | |||
125-134 | |||
135-145 | |||
147-156 | |||
157-167 | |||
169-179 | |||
181-190 | |||
191-201 | |||
Chapters/Headings | Author(s) | Pages | Info |
Showing 1 to 20 of 88 entries
Similar Books
Loading...
Similar Chapters
Loading...
Similar Thesis
Loading...
Similar News
Loading...
Similar Articles
Loading...
Similar Article Headings
Loading...