✦ LIBER ✦

Review of input determination techniques for neural network models based on mutual information and genetic algorithms

✍ Scribed by Maria Paula da Costa Couto

Publisher: Springer-Verlag
Year: 2008
Tongue: English
Weight: 341 KB
Volume: 18
Category: Article
ISSN: 0941-0643
DOI: 10.1007/s00521-008-0206-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Modeling and design of interdigital capa

Modeling and design of interdigital capacitor based on neural networks and genetic algorithm

✍ R. S. Chen; X. Zhang; K. F. Tsang; K. N. Yung 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 102 KB

## Abstract In this paper, a novel approach is described to design an interdigital capacitor (IDC) using artificial neural networks (ANNs) and genetic algorithm (GA). The scattering parameters of the training samples are computed by the finite‐difference time‐domain (FDTD) and ANN is applied to des

Artificial neural network modeling and g

Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant

✍ C. Sivapathasekaran; Soumen Mukherjee; Arja Ray; Ashish Gupta; Ramkrishna Sen 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 207 KB

Least-cost design of singly and doubly r

Least-cost design of singly and doubly reinforced concrete beam using genetic algorithm optimized artificial neural network based on Levenberg–Marquardt and quasi-Newton backpropagation learning techniques

✍ Babita Saini; V. K. Sehgal; M. L. Gambhir 📂 Article 📅 2006 🏛 Springer-Verlag 🌐 English ⚖ 844 KB