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Optimum Synthesis of Path Generating Four-Bar Mechanisms Using Differential Evolution and a Modified Error Function

Mechanism and Machine Theory, 2012
Abstract This paper proposes a new error function that can be used for optimum synthesis of path generating mechanisms. The proposed error function is formulated in a way that makes it suitable for use in applications when the primary requirement is that the synthesized path should match closely with the prescribed path.
Sanjay Matekar, Gunesh R Gogate
exaly   +2 more sources

Modified Error Function with Added Terms for the Backpropagation Algorithm

open access: yes, 2004
We have noted that the local minima problem in the backpropagation algorithm is usually caused by update disharmony between weights connected to the hidden layer and the output layer. To solve this problem, we propose a modified error function with added terms.
Weixing Bi   +3 more
openaire   +2 more sources

On the approximation of the modified error function

Mathematical Methods in the Applied Sciences, 2022
In a recent research, the authors established an approximation to the modified error function (MEF) for a small positive thermal conductivity coefficient , leaving the problem open for the general case . The approximation represents an approximate solution to the Stephan problem with linear thermal conductivity in a semi‐infinite body, which ...
Smail Bougouffa   +2 more
openaire   +2 more sources

Online trained neuro-controller with a modified error function

2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era (Cat. No.00TH8492), 2002
A modified error function to improve the performance of a neuro-controller trained online by the backpropagation (BP) algorithm is presented. The performance is significantly improved with the proposed error function compared to that with the traditional error function used in the BP algorithm.
M.M. Salem   +4 more
openaire   +1 more source

Avoiding the Local Minima Problem in Backpropagation Algorithm with Modified Error Function

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2005
One critical "drawback" of the backpropagation algorithm is the local minima problem. We have noted that the local minima problem in the backpropagation algorithm is usually caused by update disharmony between weights connected to the hidden layer and the output layer.
Weixing Bi   +3 more
openaire   +1 more source

A modified Stenger’s quadrature formula for infinite integrals of unilateral rapidly decreasing functions and its theoretical error bound

Mathematics and Computers in Simulation, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tomoaki Okayama, Shu Hanada
openaire   +1 more source

Performance of attribute control charts for monitoring the shape parameter of modified power function distribution in the presence of measurement error

Quality and Reliability Engineering International, 2021
AbstractIn this paper, we develop attribute control charts (CCs) using two life data distributions named as Transmuted Power function distribution (TPFD) and Survival Weighted Power function distribution (SWPFD) under a time truncated life test (TTLT).
Azam Zaka   +2 more
openaire   +2 more sources

Modified Function Projective Synchronization Using Feedback Error Control

International Journal of Hybrid Information Technology, 2014
Some new simple control methods of modified function projective synchronization in two chaotic systems are investigated in this paper. Based on Lyapunov method, a general feedback error control law is proposed, which contains only feedback error term and easy to implement in practice.
Hongyue Du, Wei Yao, Ge Hu, Jian Wang
openaire   +1 more source

Analysis of Optical Transfer Function and Phase Error of the Modified Triangular Interferometer

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, 2007
We synthesize and analyze the optical transfer function(OTF) of the modified triangular interferometer(MTI) using two-pupil synthesis method, and we present the optimal MTI, which can obtain any bipolar function by combining a wave plate and a linear polarizer. Also, we analyze its potential phase error sources caused by polarization components.
Soo-Gil Kim, Jeong-Duk Ryeom
openaire   +1 more source

An Improved Algorithm for Eleman Neural Network by Adding a Modified Error Function

2007
The Eleman Neural Network has been widely used in various fields ranging from temporal version of the Exclusive-OR function to the discovery of syntactic categories in natural language date. However, one of the problems often associated with this type of network is the local minima problem which usually occurs in the process of the learning.
Zhiqiang Zhang   +5 more
openaire   +2 more sources

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