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Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques Saeid Eslamian
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Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques
Saeid Eslamian
Classic Soft-Computing Techniques, Volume One in the Handbook of Hydroinformatics series, explores the difference between traditional computing, also known as hard computing and soft computing, which is based on the importance given to issues like precision, certainty and rigor. Chapters define fundamentally classic soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Supporting Vector Machine, Ant-Colony Based Simulation, Bat Algorithm, Decision Tree Algorithm, Firefly Algorithm, Fish Habitat Analysis, Game Theory, Hybrid Cuckoo-Harmony Search Algorithm, Honey-Bee Mating Optimization, Imperialist Competitive Algorithm, Relevance Vector Machine, and more.
This volume is a true interdisciplinary work that will be useful to post graduates and above in the fields of Artificial Intelligence, Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources and Chemical Engineering.
450 pages, Approx. 100 illustrations (20 in full color); Illustrations, unspecified
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 5. decembra 2022 |
| ISBN13 | 9780128212851 |
| Založniki | Elsevier Science Publishing Co Inc |
| Strani | 478 |
| Dimenzije | 150 × 220 × 10 mm · 1,11 kg |
| Jezik | Angleščina |
| Urednik | Eslamian, Faezeh, Ph.D., CEP, (CEP, Project Manager at GHD, Quebec, Canada) |
| Urednik | Eslamian, Saeid (Distinguished Full Professor, Disaster Relief: Resilient and Sustainable Water Resources, Isfahan University of Technology, Iran) |
