- Review of Soft Computing Techniques for Modeling🔍
- A Review Of Soft Computing Techniques In Modelling The Water ...🔍
- A Review of Soft Computing Techniques and Applications – IJERT🔍
- A Holistic Review of Soft Computing Techniques🔍
- A Review of Soft Computing Techniques and Applications🔍
- A Review of Soft Computing Techniques for Time Series Forecasting🔍
- Soft Computing Techniques for Reduced Order Modelling🔍
- New Soft Computing Techniques for System Modeling🔍
Review of Soft Computing Techniques for Modeling
Review of Soft Computing Techniques for Modeling, Design, and ...
This study reviews core soft computing techniques like adaptive neuro-fuzzy inference systems, response surface methodology (RSM), artificial neural networks ( ...
Review of Soft Computing Techniques for Modeling, Design, and ...
However, further research is required for developing simpler and user-friendly soft computing techniques capable of optimizing several process parameters in a ...
A Review Of Soft Computing Techniques In Modelling The Water ...
Soft Computing is one of the modern approach to develop various computational intelligence models for real life problems which are much complex and ...
A Review of Soft Computing Techniques and Applications – IJERT
that can be used together for solving complex problems that are difficult to tackle using conventional models of mathematics. These techniques ...
A Holistic Review of Soft Computing Techniques - ResearchGate
PDF | On Apr 10, 2017, Philip O. Omolaye published A Holistic Review of Soft Computing Techniques | Find, read and cite all the research you ...
A Review of Soft Computing Techniques and Applications
Soft Computing enumerates techniques like ANN, Evolutionary computing, Fuzzy Logic and statistics, they are advantageous and separately applied techniques but ...
... analysis on time series forecasting models developed so far and how soft ... Keywords: ARIMA, Artificial Neural Network, Hybrid Model, Soft Computing Techniques, ...
Soft Computing Techniques for Reduced Order Modelling
As the mathematical procedure of system modelling often leads to a comprehensive description, which causes significant difficulty in both ...
New Soft Computing Techniques for System Modeling, Pattern ...
New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing ; © 2004 ; Softcover Book USD 169.99. Price excludes VAT (USA).
Soft Computing Techniques for Dependable Cyber-Physical Systems
We present a comprehensive contemporary review of soft computing techniques for CPS dependability modeling, analysis, and improvement.
Software Reliability Modeling using Soft Computing Techniques
From this analysis, we find that the Neural network (NN) as the most suitable technique to find the reliability, and a lot of further research on cuckoo and the ...
A Survey on Soft Computing Techniques for Federated Learning
It is used in controlling systems and design analysis as it lessens the time it takes for engineering development and sometimes to solve complex systems [20].
Application of soft computing techniques for modeling and analysis ...
Use of neural network is popular in telecommunication, signal processing, pattern recognition, prediction, automated control and economical ...
Data-driven models for flood forecasting - AIMS Press
This prediction often involves analyzing various hydrological, meteorological, and environmental parameters. In recent years, several soft computing techniques ...
The Applications of Soft Computing Methods for Seepage Modeling
Many researchers have utilized soft computing methods in recent years and demonstrated that soft computing techniques are reliable and simpler modelling ...
A COMPREHENSIVE REVIEW ON SOFTWARE RELIABILITY ...
Further to this, we have likewise analyzed soft computing techniques regarding software reliability modeling abilities. IndexTerms- NeuralNetwork,Fuzzy Logic,.
A Review of Soft Computing Techniques for Gene Prediction
Soft computing consists of several techniques, the most important being neural networks, genetic algorithms, and fuzzy logic. The significance ...
Review of Soft Computing Techniques in Monitoring Cardiovascular ...
It was able to achieve an accuracy of approximately 80%. The model was constructed using a modified differential evolution method, Analytic ...
A Review of Soft Computing Techniques for Time Series Forecasting
Objectives: This paper gives a brief survey analysis on time series forecasting models developed so far and how soft computing techniques ...
The idea behind soft computing is to model cognitive behavior of human mind. Soft computing is foundation of conceptual intelligence in machines. Unlike hard ...