Advances in Neural Networks – ISNN 2016

Beschreibung

This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.
Includes supplementary material: sn.pub/extras

Autor*in

Long Cheng

Themen in »Advances in Neural Networks – ISNN 2016«

genetic algorithm global optimization machine learning pattern recognition simulation dynamical behavior analysis feature extraction image analysis intelligent control learning algorithm motion detection neural networks prediction probability recurrent neural networks

Stimmen zu »Advances in Neural Networks – ISNN 2016«

Details

Link teilen