Landslide susceptibility mapping: analysis of different feature selection techniques with artificial neural network tuned by bayesian and metaheuristic algorithms

SUMMARY

Artificial neural_networks are utilized to solve a range of issues in industries, like banking, manufacturing, electronics, and medicine, among others. In the context of artificial neural_networks (ANNs), optimization algorithms, such as PSO, GA, and Bayesian Optimization, have been widely used to improve the performance of ANNs in various classification tasks. In the context of predicting landslide susceptibility using artificial neural_networks (ANNs), the weights and biases of the network are adjusted or tuned by the optimization algorithms (such as Genetic Algorithms, Particle Swarm Optimization, or Bayesian Optimization) to improve the performance of the ANN in predicting the landslide . . .

 



If you want to have access to all the content you need to log in!

Thanks :)

Username or Email

Password

Remember me

Lost your password?

If you don't have an account, you can create one here.