Gene regulatory networks are the most complex, extensive control systems found in nature. The interaction between biology and evolution has been the subject of great interest in recent years. This bo
Artificial Neural Networks for Engineering Applications presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods, using artificia
