𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A knowledge-based neuromodeling using space mapping technique: Compound space mapping-based neuromodeling

✍ Scribed by Murat Simsek; N. Serap Sengor

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
631 KB
Volume
21
Category
Article
ISSN
0894-3370

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

This paper presents two new methods, space mapping (SM) with prior knowledge input (PKI‐D) with difference and compound space mapping‐based neuromodeling. Both methods combine two powerful techniques, space mapping‐based neuromodeling and PKI‐D with difference. The knowledge‐based modeling methods in the RF/microwave literature merge the prior knowledge about the device to be modeled with neural network structures while a knowledge‐based method, SP, focuses on reducing the computational burden. The main advantage of the proposed methods over these already existing knowledge‐based methods are their better extrapolation capability and reduced number of training set data. The simulation results obtained reveal that both methods decrease the cost of training and improve the extrapolation capability and output performance of the SP‐based neuromodeling. Copyright © 2007 John Wiley & Sons, Ltd.

📜 SIMILAR VOLUMES

Yield-driven electromagnetic optimizatio
Yield-driven electromagnetic optimization via space mapping-based neuromodels
✍ John W. Bandler; José E. Rayas-Sánchez; Qi-Jun Zhang 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 341 KB

Accurate yield optimization and statistical analysis of microwave components are crucial ingredients for manufacturability-driven designs in a time-to-market development environment. Yield optimization requires intensive simulations to cover the entire statistic of possible outcomes of a given manuf

Modified constrained explicit knowledge-
Modified constrained explicit knowledge-embedded space mapping using circuit tuning based on physical augmentation as parameter extraction
✍ Abdullah Rasmita; Yong-Xin Guo 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 839 KB

A new constrained space mapping algorithm is presented. This algorithm is based on aggressive space mapping type algorithm. Orthogonal projection is used to handle the constraints. The new method has advantage of simplicity without sacrificing mathematical robustness of space mapping. Proof of the c

Susceptibility mapping in the human brai
Susceptibility mapping in the human brain using threshold-based k-space division
✍ Sam Wharton; Andreas Schäfer; Richard Bowtell 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 590 KB

## Abstract A method for calculating quantitative three‐dimensional susceptibility maps from field measurements acquired using gradient echo imaging at high field is presented. This method is based on division of the three‐dimensional Fourier transforms of high‐pass‐filtered field maps by a simple

Neural inverse space mapping (NISM) opti
Neural inverse space mapping (NISM) optimization for EM-based microwave design
✍ John W. Bandler; Mostafa A. Ismail; José E. Rayas-Sánchez; Qi-Jun Zhang 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 279 KB

We present neural inverse space mapping (NISM) optimization for electromagnetics-based design of microwave structures. The inverse of the mapping from the fine to the coarse model parameter spaces is exploited for the first time in a space mapping algorithm. NISM optimization does not require up-fro

Simultaneous mapping of interactions bet
Simultaneous mapping of interactions between scientific and technological knowledge bases: The case of space communications
✍ E. Hassan 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 95 KB 👁 2 views

## Abstract This article examines the knowledge structure of the field of space communications using bibliometric mapping techniques based on textual analysis. A new approach with the aim of visualizing simultaneously the configuration of its scientific and technological knowledge bases is presente

Bifurcation analysis of one-dimensional
Bifurcation analysis of one-dimensional maps using the renormalization technique in a parameter space
✍ Ikuo Matsuba 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 335 KB 👁 2 views

This paper derives a renormalization formula defined on the parameter space where mapping behavior is preserved, together with the equivalent potential function. In contrast to the universal function given by Feigenbaum, the behavior near the critical point is governed by the potential function. The