Computational Intelligence in Machine Learning
☆☆☆☆☆
(0 reviews)
Lowest price (incl. delivery)
50 064,00 JPY
Typical price4 511,47 PLN
Lowest (90 days)299,99 PLN
Offers6
Last updated5 hours ago
Price history (90 days)
Full history
2026-08-08
2026-08-15
| Updated At | Price |
|---|---|
| 2026-08-08 | 299,99 |
| 2026-08-15 | 369,24 |
| Seller | Product price | Delivery | Total | Availability | Updated | |
|---|---|---|---|---|---|---|
| SP SpringerNatureLink Shop INT | 50 049,00 JPY | 15,00 JPY | 50 064,00 JPY | Available | 5 hours ago | View offer |
| SP SpringerNatureLink Shop INT | 349,99 USD | 25,00 USD | 374,99 USD | Available | 6 hours ago | View offer |
| SP SpringerNatureLink Shop INT | 379,99 USD | 15,00 USD | 394,99 USD | Available | 6 hours ago | View offer |
| SP SpringerNatureLink Shop INT | 379,99 USD | 15,00 USD | 394,99 USD | Available | 6 hours ago | View offer |
| SP Springer Nature Author | 384,99 EUR | 19,00 EUR | 403,99 EUR | Available | 6 days ago | View offer |
| SP SpringerNatureLink Shop INT | 413,00 EUR | 15,00 EUR | 428,00 EUR | Available | 6 hours ago | View offer |
Prices and availability may change. Last Updated: 15.08.2026 08:16.
EAN
9789819979530
Springer Nature
0,0
☆☆☆☆☆
0 reviews
5★
0%
4★
0%
3★
0%
2★
0%
1★
0%
Product reviews
No reviews yet — be the first!
This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.