Titlebook: Learning Systems: From Theory to Practice; Vassil Sgurev,Vincenzo Piuri,Vladimir Jotsov Book 2018 Springer International Publishing AG, pa

巨大沒(méi)有

Intelligent Two-Level Optimization and Model Predictive Control of Degrading Plants,t” and in the “slow” time scales and incorporates case-based reasoning. In particular, the plantwide optimization of a Peirce-Smith converter is considered, which is a typical example of a plant with degrading performance. The number of blocked tuyeres is optimized in order to achieve an efficient long-term operation.

反抗者

Autonomous Flight Control and Precise Gestural Positioning of a Small Quadrotor,ous maneuvers during the flight of the rotorcraft via specific gestures and body postures. A Parrot AR. Drone quadrotor and a Microsoft Kinect sensor have been used to implement and evaluate the proposed autonomous and semi-autonomous flight control.

gain631

Introduction to the Theory of Randomized Machine Learning,rning employs the generalized information entropy maximized on a set described by the system of empirical balances. We apply this approach to text classification and dynamic regression problems. The results illustrate capabilities of the approach.

Adulterate

1860-949X antifiers to various data science and industrial applications, it includes a wide range of valuable lessons learned and ideas for future intelligent products and systems.978-3-030-09164-4978-3-319-75181-8Series ISSN 1860-949X Series E-ISSN 1860-9503

Abutment

圓錐

Salivary-Gland

Collaborative Clustering: New Perspective to Rank Factor Granules,nules, are used to collaborate the clustering for the referential factor granule. By comparing the difference of the referential factor granule before and after collaboration in aspects of clustering results, we can sort these factor granules: the little the difference, the closer to the top of the sequence.

Lethargic

Data Processing and Harmonization for Intelligent Transportation Systems: An Application Scenario ot relies on the adoption of “big data” technologies, to process and store large volumes of data from heterogeneous sources, provided by different highway operators, and is capable of handling real-time and historical data. The DATEX-II data model is adopted, enabling harmonization of traffic data provided by the highway operators.

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aerobic

Applications of Computational Intelligence in Industrial and Environmental Scenarios,omatic systems for industrial and environmental monitoring and control applications. CI techniques are able to aggregate inputs from several heterogeneous sensors, adapt themselves to wide ranges of operational and environmental conditions, and cope with incomplete or noise-affected data. With curre