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[PDF][PDF] Application of artificial neural networks in chemical process control
H Wang, Y Chen - Asian Journal of Research in Computer …, 2022 - researchgate.net
An important data-driven model is the artificial neural network. Artificial neural networks
have been widely used in many domains of chemical processes due to its robustness, fault …
have been widely used in many domains of chemical processes due to its robustness, fault …
Review of artificial neural network and its application research in distillation
J Sun, Q Tang - Journal of Engineering Research and …, 2021 - article.researchpromo.com
With the development of rectification technology, the scale of its production equipment has
continued to expand, and its calculation requirements have become more complex. The use …
continued to expand, and its calculation requirements have become more complex. The use …
Nature-Inspired AI Techniques in Intelligent Transportation System
Efficient transportation is vital for smart cities. An intelligent transportation system (ITS)
involves dealing with increasing travel demand, travelers' safety concerns, efficient route …
involves dealing with increasing travel demand, travelers' safety concerns, efficient route …
Defining the critical characteristics of unmanned vehicles in a smart city
MV Mamchenko, MA Romanova, PM Trefilov - IFAC-PapersOnLine, 2021 - Elsevier
The article presents an analysis and synthesis of existing research in the field of forming a
generalized architecture of land-based autonomous unmanned vehicles (UV) intended for …
generalized architecture of land-based autonomous unmanned vehicles (UV) intended for …
Performance Evaluation of Multi-Target Object Trackers in IOT based autonomous intelligent vehicles
The crucial challenge in autonomous intelligent vehicles is multi-object tracking, classifying,
and locating in a variety of traffic conditions. Car makers and academic researchers are …
and locating in a variety of traffic conditions. Car makers and academic researchers are …
Application of Artificial Neural Networks for Catalysis
Z Liu, W Zhou - arxiv preprint arxiv:2110.00924, 2021 - arxiv.org
Catalyst, as an important material, plays a crucial role in the development of chemical
industry. By improving the performance of the catalyst, the economic benefit can be greatly …
industry. By improving the performance of the catalyst, the economic benefit can be greatly …
Artificial Neural Network and its Application Research Progress in Distillation
J Sun, Q Tang - arxiv preprint arxiv:2110.01449, 2021 - arxiv.org
Artificial neural networks learn various rules and algorithms to form different ways of
processing information, and have been widely used in various chemical processes. Among …
processing information, and have been widely used in various chemical processes. Among …
Entwicklung einer Methodik zur Prüfung der Wirksamkeit von künstlicher Intelligenz
C Lossos, F Morelli, S Geschwill - Anwendungen und Konzepte der …, 2019 - akwi.hswlu.ch
Künstliche Intelligenz (KI) entwickelt sich durch optimierte Rechenleistungen, große Mengen
an verfügbaren Daten und massiven Investitionen immer mehr zu einem unverzichtbaren …
an verfügbaren Daten und massiven Investitionen immer mehr zu einem unverzichtbaren …
[PDF][PDF] Traffic Sign Classification with Deep Neural Network
A Bayaz - researchgate.net
with the rapid improvement of autonomous vehicles, cars and other self-controlled devices,
areas of traffic sign classification, road sign detection have become quite popular …
areas of traffic sign classification, road sign detection have become quite popular …
[SITAT][C] Research progress in the application of artificial neural networks in catalyst optimization
Z Liu, W Zhou - 2021 - AJOCS