Soft computing became used in many application in the world. What are the best algorithm use in image classification or object classification?
in my viewpoint a 2 layers model should achieve a good results, for instance, use RNN for object classification and Fuzzy C-means for improving accuracy.
Dear Bruno Martin
Soft computing, deals with approximate models and gives solutions to complex real-life problems.
Also, Components of soft computing include:
Machine learning, including:
1.Neural networks (NN)
2.Perceptron
3.Support Vector Machines (SVM)
Fuzzy logic (FL)
Evolutionary computation (EC), including:
1.Evolutionary algorithms
2.Genetic algorithms
3.Differential evolution
Metaheuristic and Swarm Intelligence
Ant colony optimization
Particle swarm optimization
Cuckoo Search Algorithm
Weed Optimization Algorithm
Ideas about probability including:
Bayesian network
My pragmatic suggestion would be to find the most recent "State Of The Art" article review on your particular topic (image classification) and you will find there what type of algorithms performs best on your problem!
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