Parameter optimization of a multi-response process for lead frame manufacturing by employing artificial neural networks

Optimal selection of artificial neural n

Optimal selection of artificial neural network parameters for the prediction of a karstic aquifer's response

✍ Ioannis C. Trichakis; Ioannis K. Nikolos; George P. Karatzas 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 834 KB

## Abstract The simulation of karstic aquifers is difficult using traditional groundwater numerical simulators, as the exact knowledge of the hydraulic characteristics of the physical system in small scale is rarely available and the numerical simulators produce results of limited reliability. In t