✦ LIBER ✦

Neural networks teaching using Evenet-2000

✍ Scribed by E. J. Gonzalez; A. Hamilton; L. Moreno; R. M. Aguilar; R. L. Marichal

Publisher: John Wiley and Sons
Year: 2003
Tongue: English
Weight: 132 KB
Volume: 11
Category: Article
ISSN: 1061-3773
DOI: 10.1002/cae.10033

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

In optimization problems, neural networks have been proved as an efficient method. Because of this, students of Engineering should learn this tool properly in subjects as “Optimal Control” or “Intelligent Control.” In this paper, a planning for neural networks teaching is proposed. As tool, Evenet‐2000, a Java‐based toolkit which allows to design and train neural networks with arbitrary architecture, is used. © 2003 Wiley Periodicals, Inc. Comput Appl Eng Educ 11: 1–5, 2003; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.10033

📜 SIMILAR VOLUMES

Network restoration using recurrent neur

Network restoration using recurrent neural networks

✍ G. Prem Kumar; P. Venkataram 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 212 KB 👁 2 views

Intelligent control using multiple neura

Intelligent control using multiple neural networks

✍ Lingji Chen; Kumpati S. Narendra 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 168 KB 👁 2 views

Automatic steering of ships using neural

Automatic steering of ships using neural networks

✍ M. A. Unar; D. J. Murray-Smith 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 413 KB 👁 1 views

Ship steering control system design presents challenges because the dynamic properties of the vessel itself vary signi"cantly. The use of an arti"cial neural network as a controller which incorporates the properties of a series of conventional controllers designed for di!erent operating conditions c

Crystallization process optimization usi

Crystallization process optimization using artificial neural networks

✍ Prof. Dr. Ir. Alexandru Woinaroschy; Lect. Ir. Raluca Isopescu; Prof. Dr. Ir. La 📂 Article 📅 1994 🏛 John Wiley and Sons 🌐 English ⚖ 280 KB

This paper presents a new procedure for optimization of continuous mixed suspensionmixed product removal (MSMPR) crystallizing systems. Owing to the difficulties of theoretical modelling, simulation of the MSMPR crystallization process is based on the use of artificial neural networks (ANN). The opt

Bispectrum estimation using a recurrent

Bispectrum estimation using a recurrent neural network

✍ Takehiko Ogawa; Yukio Kosugi 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 202 KB 👁 1 views

Techniques using FFT have been used widely in the past for bispectrum estimation. However, when FFT was used for bispectrum estimation of data with many points, there was a problem of escalated level of calculation, making applications to real problems requiring real-time processing such as image pr

Implicit constitutive modelling for visc

Implicit constitutive modelling for viscoplasticity using neural networks

✍ Tomonari Furukawa; Genki Yagawa 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 281 KB 👁 2 views

Up to now, a number of models have been proposed and discussed to describe a wide range of inelastic behaviours of materials. The fatal problem of using such models is however the existence of model errors, and the problem remains inevitably as far as a material model is written explicitly. In this