Verkauf durch Sack Fachmedien

Patnaik / Sethi / Yang

Advances in Machine Learning and Computational Intelligence

Proceedings of ICMLCI 2019

Medium: Buch
ISBN: 978-981-15-5242-7
Verlag: Springer Nature Singapore
Erscheinungstermin: 26.07.2020
Lieferfrist: bis zu 10 Tage

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.



Produkteigenschaften


  • Artikelnummer: 9789811552427
  • Medium: Buch
  • ISBN: 978-981-15-5242-7
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 26.07.2020
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2021
  • Serie: Algorithms for Intelligent Systems
  • Produktform: Gebunden
  • Gewicht: 1490 g
  • Seiten: 878
  • Format (B x H x T): 160 x 241 x 54 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Part 1: Modeling & Optimization.- Chapter 1. Intrusion Detection using a Hybrid Sequential Model.- Chapter 2. Simulation and Analysis of the PV Arrays Connected to Buck-Boost converters using MPPT Technique by Implementing Incremental Conductance Algorithm and Integral Controller.- Chapter 3. A New Congestion Control Algorithm for SCTP.- Chapter 4. RGNet: The Novel Framework to Model Linked Research Gate Information into Network using Hierarchical Data Rendering.- Chapter 5. A New Approach for Momentum Particle Swarm Optimization.- Chapter 6. Neural Networks Modeling Based On Recent Global Optimization Techniques.- Part 2: Part 2 - Machine Learning Techniques.- Chapter 7. Network Intrusion Detection Model Using One Class Support Vector Machine.- Chapter 8. Query Performance Analysis Tool for Distributed Systems.- Chapter 9. A Robust Multiple Moving Vehicle Tracking for Intelligent Transportation System.- Chapter 10. Bug Priority Assessment in Cross Project context using Entropy based Measure.- Chapter 11. Internet of Things Security using Machine Learning.- Chapter 12. Churn Prediction and Retention in Banking, Telecom and IT Sector using Machine Learning Techniques.