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Computational efficiency of the new computing methodology is compared with advanced simulation software.
This soft computing methodology is implemented using MATLAB/Simulink and the performances are investigated.
This article presents a soft computing methodology to design turbomachinery components experiencing strong shock interactions.
Soft computing suggests a new computing methodology that is both flexible and easy.
This soft computing methodology is implemented with Matlab/Simulink and the performance is investigated.
Additionally, Ant Colony Optimization (ACO), as an advanced soft computing methodology, is used for social web mining.
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● In the computing methodologies category, most features of blockchain have not yet achieved high-level maturity.
It is an approach that combines different theoretical backgrounds and algorithms such as data mining and soft computing methodologies.
Advancements in measurement techniques and computing methodologies have resulted in the use of microarray data in application to genetics, medicine, and patient diagnosis.
Soft computing methodologies like fuzzy sets, neural networks, genetic algorithms, rough sets, soft sets and their hybridizations, have recently been widely utilized to solve data mining problems.
Various issues which is related to the design and implementation of soft computing methodologies including the trade-off between tolerance, precision and uncertainty are also addressed.
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