Atjaunināt sīkdatņu piekrišanu

E-grāmata: Computational Intelligence and Mathematics for Tackling Complex Problems 2

Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 154,06 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This book collects the final versions of the highest quality papers presented at the conference 11th European Symposium on Computational Intelligence and Mathematics held on October 2–5, 2019, in Toledo (Spain). The conjugation of computational sciences with different mathematical tools is essential in order to solve different challenges that arise in a wide-ranging knowledge areas. Nowadays, many promising research lines are being developed in this direction from the theoretical and applicational perspectives.

In this publication, computational intelligence and mathematics are combined in interesting research works that aim to give answers to complex real problems. Moreover, the technical program of this conference included four excellent keynote speeches, given by Prof. José Luis Verdegay (Guidelines to solve Decision Making Problems), Prof. Joao Paulo Carvalho (Recommender Systems: Using Fuzzy Fingerprints for ``Proper'' Recommendations), Dr. Andreja Tepavcevic (Special lattice valued structures and approximate solutions of linear equations), and Prof. Juan Moreno-Garcia (Generating linguistic descriptions using Linguistic Petri Nets).

A New Exploitation Scheme in the Context of Bipolar Classifiers.-
Dynamic Maximal Covering Location Problem with Facility Types.- Implicative
Linguistic Summaries.- Comparison of Discrete Memetic Evolutionary
Metaheuristics for TSP.- Syntactic Analysis of Sentences Using Deep Neural
Networks.- Estimating Remaining Time of Business Processes with Structural
Attributes of the Traces.- Convolutional Neural Networks in the Ovarian
Cancer Detection.- Analyzing the Performance of TSP Solver Methods.- A Fuzzy
Model to Aggregate Performance Indicators in Sports.- Formal Analysis of
Solar Power and Weather Data.- A New Community Detection Problem Based on
Bipolar Fuzzy Measures.- Novel Methods of FCM Model Reduction.- Some
Implications of Interval Approach to Dimension for Network Complexity.-
Social Indexes Segregation based on MEOWA and MOOWA Aggregation Operators.-
Combining Conceptual Graphs and Sentiment Analysis for Fake News Detection.-
A Weakened Notion of Congruence to Reduce Concept Lattices.- Interactive
Search by Using  Minimal Generators.- Knowledge Implications in Multi-adjoint
Concept Lattices.- Fuzzy Decision Support Methodology for Sustainable
Packaging System Design.- Some Relationships Between the Notions of
f-Inclusion and f-Contradiction.- Decomposition Integrals for Interval-valued
Functions.- Relational Powerset Theories.- On Some Categories Underlying
Knowledge Graphs.- On Two Categories of Many-level Fuzzy Morphological
Spaces.- Congruences on Lattices and Lattice-valued Functions.- ome Roughness
Features of Fuzzy Sets.