Performance on Soft Computing Techniques

However, Soft computing mechanism such as fuzzy sets, artificial neural networks, evolutionary computation, rough sets, and probabilistic ...

Performance and Analysis of Soft Computing Techniques with ...

Performance and Analysis of Soft Computing Techniques with. Energy Management Framework in IoT Networks. Vanitha M1*, Radhika A2, Umayal Muthu ...

Performance of Soft Computing Technique in Predicting the ...

This program can detect vertical movement caused by the road's rough surface and calculate the IRI value. The key motive for using this ...

Performance Analysis of Soft-Computing Techniques - ProQuest

In this study, various types of soft computing such as Back Propagation Neural Network (BPN), Radial Basis Function (RBF), Support Vector Machine (SVM), Fuzzy ...

Performance and Analysis of Soft Computing Techniques with ...

This framework combines various technologies and methodologies to create a comprehensive system for real-time energy management in an IoT environment.

Modeling performance appraisal using soft computing techniques

Soft Computing provides flexible information processing capability for representation and evaluation of various real life ambiguous and uncertain situations.

Performance evaluation of feed-forward neural network with soft ...

The problem of not convergence the weight in conventional backpropagation has also eliminated by using the soft computing techniques. It has been observed that, ...

Performance analysis of soft computing techniques for the automatic ...

This article analyzes some of the visual features of an image and presents a system to identify the fruits and vegetables based on image descriptors.

A Review of Soft Computing Techniques and Applications

The thought behind soft computing is to display psychological conduct of human brain. Soft computing is establishment of reasonable insight in ...

A systematic review of the soft computing methods shaping the ...

This paper provides a systematic review of the research on soft computing methods in the metaverse, highlighting the interdisciplinary nature of the field.

Review of Soft Computing Techniques in Monitoring Cardiovascular ...

The main focus of this paper is to study the use of soft computing in the prediction and diagnosis of heart diseases.

Modern Soft Computing Techniques and Their Various Applications

Soft computing includes innovations like machine learning, artificial neural networks, genetic algorithms, fuzzy logic, and expert systems.

Modelling of compression ignition engine by soft computing ... - Nature

The fitness function was recalled when inputting values into the GA toolbox. The combination of soft computing techniques with an optimization ...

High Performance Programming for Soft Computing - 1st Edition

This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as multicore processors and ...

A Survey on Soft Computing Techniques for Federated Learning

A Multi-Objective Evolutionary Algorithm (MOEA) is implemented in [34] to improve the communication efficiency and performance of the model. Inspired by this, ...

Implementation of Soft Computing Techniques in Predicting and ...

Traditional methods of testing and optimizing the performances of IC engines are complex, time consuming, and expensive. This has led the ...

(PDF) Modeling Academic Performance Evaluation Using Soft ...

In this paper, we have described six survey of evaluation academic performance based on soft computing techniques like fuzzy logic and fuzzy expert system. The ...

Soft computing technique-based prediction of water quality index

Soft computing techniques · Artificial neural network (ANN) · Generalized regression neural network (GRNN) · Adaptive neuro-fuzzy interference ...

Parallel Soft Computing Techniques in High-Performance ...

Soft computing methods can handle partial information and non-exact solutions in order to compute accurate solutions for complex problems. These features make ...

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 ...