[PDF][PDF] Automated disassembly sequence prediction for industry 4.0 using enhanced genetic algorithm
AK Gulivindala, M Bahubalendruni… - Computers …, 2021 - pdfs.semanticscholar.org
The evolution of Industry 4.0 made it essential to adopt the Internet of Things (IoT) and Cloud
Computing (CC) technologies to perform activities in the new age of manufacturing. These …
Computing (CC) technologies to perform activities in the new age of manufacturing. These …
[PDF][PDF] Deep learning and fuzzy rule-based hybrid fusion model for data classification
Data mining is the promising field that attracted the industries to manage huge volumes of
data. The most effective and challenging techniques of data mining is data classification …
data. The most effective and challenging techniques of data mining is data classification …
Study of swarm intelligence algorithms for optimizing deep neural network for bitcoin prediction
Blockchain, a shared digital ledger, operates on a peer-to-peer network which is used for
storing the transactions. Cryptocurrencies are used for transactions in blockchain. The most …
storing the transactions. Cryptocurrencies are used for transactions in blockchain. The most …
BGFS: Design and development of brain genetic fuzzy system for data classification
Recently, classification systems have received significant attention among researchers due
to the important characteristics and behaviors of analysis required in real-time databases …
to the important characteristics and behaviors of analysis required in real-time databases …
Construction of Fuzzy Classifiers by a Brain Storm Optimization Algorithm
M Bardamova, I Hodashinsky, M Svetlakov - International Conference on …, 2022 - Springer
The fuzzy classifier has such important advantages as an intuitive operation logic and high
interpretability of the fuzzy rules base. The development of a fuzzy classifier includes three …
interpretability of the fuzzy rules base. The development of a fuzzy classifier includes three …
[引用][C] Adaptive Lion Fuzzy System to Generate the Classification Rules using Membership Functions based on Uniform Distribution
BL Ramani, P Poosapati - International Journal of Applied Engineering Research, 2017