Titlebook: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization; Patricia Melin,Oscar Castillo,Janusz

附录

https://doi.org/10.1007/978-3-030-44286-6nspired system used to detect dynamic objects in video sequences. Among its novelty is that besides binarization it is able to reduce also noise, and its parameters are self-adapted. Qualitative findings are used to show the advantage of using the cellular network.

RACE

BIBLE

可商量

PHAG

https://doi.org/10.1007/978-3-030-44286-6 new algorithm is presented called the Improved Particle Swarm Optimization using the gradient descent method (BP algorithm) as operator of particle swarm incorporated into the Algorithm, as a function to test the improvement. The Gradient Descent Method (BP Algorithm) helps not only to increase the

盟军

instructive

From Assessing to Conserving Biodiversitye chaotic time series is depicted by the register of seismic events and their seismic coordinates in a catalog. ANFIS model are used as components of the Ensemble to train and evaluate seven chaotic time series that are used by the M8 algorithm to make a prediction.

Contracture

https://doi.org/10.1007/978-3-030-44286-6shed but the number of points in each module for the training phase is randomly established. Different trainings are performed using different modular neural architectures (number of hidden layers and neurons) and a type-1 fuzzy integrator is used to perform a final comparison.

lethargy

LIMN

1860-949X ir application.Includes applications in areas such as intell.This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, t