Joseph P. Wright
Weidlinger Associates
38 Papers
170 Citations
Joseph P. Wright is an academic researcher from Weidlinger Associates. The author has contributed to research in topics: Artificial neural network & Nonlinear system. The author has an hindex of 11, co-authored 37 publications.
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Papers
Mapping polynomial fitting into feedforward neural networks for modeling nonlinear dynamic systems and beyond
TL;DR: This work reveals the capability of the “universal approximator” by relating the ”soft computing tool” to an important class of conventional computing tools widely used in modeling nonlinear dynamic systems and many other scientific computing applications.
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Mapping some basic functions and operations to multilayer feedforward neural networks for modeling nonlinear dynamical systems and beyond
TL;DR: This study examines linear sums of sigmoidal functions as a means to construct approximations to various nonlinear functions including reciprocal, absolute value, the product of absolute value and first-order polynomial, exponential, truncated sinc, Mexican hat, and Gaussian functions as well as the four elementary arithmetic operations.
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Solving Dynamical Systems Involving Piecewise Restoring Force Using State Event Location
Joseph P. Wright,Jin-Song Pei +1 more
TL;DR: In this paper, the authors seek accurate and efficient numerical solutions of the DAEs with C0 continuity, enabling robust simulation of these complex nonlinear dynamic systems, which are commonly used in engineering mechanics applications.
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Mixed time integration schemes
TL;DR: In this article, the authors present a review of structural dynamics codes which permit different time integration methods to be used in different parts of the structure. But the main goal of this effort is the design and implementation of more efficient solution procedures.
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Numerical stability of a variable time step explicit method for Timoshenko and Mindlin type structures
TL;DR: An efficient method for calculating the transient response of Timoshenko and Mindlin type structures is to use explicit time integration combined with increased rotatory inertia as mentioned in this paper, which shows that time step variations are important in determining how much to increase the inertia.
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