Faculty of Agricultural MechanisationBook 1.1 · Agricultural Engineering. Agricultural Science and Medicine. Repair and Reliability. Industrial Design. Thermotechnics, Hydro- and Pneumotechnics. Ecology and Environment Protection

FRI-19.206-1-EC-01

NATIONAL NEURAL NETWORK FOR SEISMIC, WIND AND FIRE PROTECTION OF BUILDINGS AND FACILITIES THROUGH RENOVATION OF EXISTING ELEVATOR DEVICES

Prof. Stanimir Karapetkov, DSc

Technical University - Sofia

E-mail: skarapetkov@yahoo.com

Assoc. Prof. Plamen Manev, PhD

“Angel Kanchev” University of Ruse

ORCID: 0009-0009-4574-7080

E-mail: pmanev@uni-ruse.bg

Assoc. Prof. Emad Abdulahad, PhD

University of Architecture, Civil Engineering and Geodesy-Sofia

E-mail: georgosing@gmail.com

Prof. Kamen Ishtev, DSc

Technical University - Sofia

E-mail: kish@tu-sofia.bg

Assist. Prof. Diana Bankova, PhD

Technical University - Sofia

E-mail: diana_bankova@abv.bg

Assoc. Prof. Elka Radeva, PhD

Medical University - Sofia

E-mail: eliradeva@abv.bg

Venelin Kondov, PhD

Kondov&Kaliqi design team, Rome, Italy

E-mail: venelinkondov@gmail.com

Assoc. Prof. Dimo Dimov, PhD

BestVet Clinic

E-mail: bestvet@abv.bg

Prof. Venkatanathan Natarajan

Sastra University, India

E-mail: physics16972@gmail.com

Abstract

Dynamic vulnerability type buildings are protected by neural network over the elevator renovation. Such a neural network guarantees full protection of people and animals in existing buildings with elevator devices during a hurricane wind or an earthquake of arbitrary magnitude, arbitrary duration and spectral composition of seismic signals.

Keywords

Signal Processing, Seismic, wind and fire protection, Elevator devices, National Networks

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