Optimization problems from science and engineering are often modeled mathematically as
combinatorial optimization problems. The result is usually an NP-hard problem and this is …

No standard learning algorithm exists for training neural networks with step acti vation
function. In this work we use Ge netic Programming (GP) to discover su pervised learning …

Feedforward neural networks constitute a good solution for many problems, such as
classification, recognition and identification, and signal processing. However, the network …

This volume collects a selection of contributions which have been presented at the 23rd
Italian Workshop on Neural Networks (WIRN 2013), the yearly meeting of the Italian Society …

I n or der toima ge a dist a nt o bject t hr ough at m osp heric t ur b ule nce, it is necess ar ytoc
orrect f or t he ph ase err ors th at wo ul d ot her wise ca use ra pi dl yv ar yi ngsp ati al bl ur …

This book and its sister volumes constitute the proceedings of the 2nd International
Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful …

When a customer uses a service, he might change his initial requirement due to subjective
reasons that could not be predicated by service providers. If this happened, service …

Özet Yapay nöral ağlar, insan beyninin paralellik, hata toleransı ve öğrenme özelliklerini
taklit eden, birbirlerine yoğun olarak bağlanmış basit elemanlardan oluşur. Yapay …

This volume reports the proceedings of the 16th Italian Workshop on Neural Nets WIRN
2005 and the satellite International Workshop on Natural and Artificial Immune Systems …