1.

Record Nr.

UNIORUON00513616

Autore

MŌRI, Toshihiko

Titolo

Etō shinpei : Kyūshinteki kaikakusha no higeki / Mōri Toshihiko

Pubbl/distr/stampa

Tōkyō, : Chūkō shinsho, 1987

Edizione

[2. ed]

Descrizione fisica

218 p. ; 18 cm

Lingua di pubblicazione

Giapponese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9911022465803321

Autore

Lin Frank C

Titolo

Applications of Computational Intelligence in Management and Mathematics II : 9th ICCM 2023, NERIST, Arunachal Pradesh, India, August 04-05 / / edited by Frank Lin, Ashok Patel, Nishtha Kesswani, Bosubabu Sambana

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-84513-7

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (664 pages)

Collana

Springer Proceedings in Mathematics & Statistics, , 2194-1017 ; ; 493

Altri autori (Persone)

PatelAshok

KesswaniNishtha

SambanaBosubabu

Disciplina

006.3

Soggetti

Computer science - Mathematics

Computer science

Mathematics of Computing

Theory of Computation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Sommario/riassunto

This volume encapsulates the collective knowledge shared and innovations presented at the 9th International Conference on Computers, Management & Mathematical Sciences (ICCM) 2023 held on the 24th and 25th of August, 2023 at the North Eastern Regional Institute of Science and Technology (NERIST), India. The ICCM 2023 was a hybrid conference, featuring both in-person and virtual attendance and explores the transformative role of computational intelligence in solving complex problems across management and mathematics. Computational intelligence encompasses techniques inspired by the human brain and nature—such as fuzzy systems, neural networks, and evolutionary computation—that excel in stochastic environments where reasoning is essential to derive meaningful solutions. The proceedings offer a comprehensive overview of how these powerful algorithms and principles are applied to a diverse array of research challenges, with a particular emphasis on computational aspects in the business domain. Scholars, researchers, and students will find invaluable insights into the development and implementation of innovative methods tailored to real-world scenarios. Key Highlights: Application of fuzzy logic to decision-making in uncertain environments. Advances in neural networks for predictive analysis and optimization. Evolutionary computation techniques for addressing complex, multi-variable problems. Insights into computational methods that bridge management theory and mathematical models. This volume serves as a critical resource for anyone seeking to harness computational intelligence to push the boundaries of research in management and mathematics. Whether you're a student embarking on your academic journey or a seasoned scholar, this book provides the tools and knowledge needed to navigate this dynamic field.