English | 2022 | ISBN: 1119985994 | 435 pages | True PDF EPUB | 46.92 MB
Zeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems
Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps.

Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 29 lectures (3h 57m) | Size: 1.5 GB
Finite element analysis using ANSYS mechanical APDL with Practical Examples

Xiao L Zeroing Neural Networks Finite-time Convergence Design, App 2023 | 17.3 MB
N/A | 435 Pages

Title: Zeroing Neural Networks
Author: Xiao, Lin;Jia, Lei;
Year: N/A

Amato F Finite-Time Stability and Control 2014 | 1.95 MB
N/A | 147 Pages

Title: N/A
Author: N/A
Year: N/A

English | 2022 | ISBN: 978-9815079081 | 178 pages | True PDF | 15.95 MB
This book explains uncertainty analysis for finite elements and general nonlinear problems. It starts with the fundamentals of the topic and progresses to complex methods through 9 chapters. Each chapter focuses on a specific, relevant topic and provides information in a structured reading format for advanced learners. The author explains different models relevant to the topic where applicable, in an effort to cover the diverse aspects of mathematical analysis.

English | 2022 | ISBN: 0323884725 | 402 pages | True PDF EPUB | 353.53 MB
Computational Models in Biomedical Engineering: Finite Element Models Based on Smeared Physical Fields: Theory, Solutions, and Software discusses novel computational methodologies developed by the authors that address a variety of topics in biomedicine, with concepts that rely on the so-called smeared physical field built into the finite element method. A new and straightforward methodology is represented by their Kojic Transport Model (KTM), where a composite smeared finite element (CSFE) as a FE formulation contains different fields (e.g., drug concentration, electrical potential) in a composite medium, such as tissue, which includes the capillary and lymphatic system, different cell groups and organelles.

English | 2022 | ISBN: 978-0357676431 | 980 pages | True PDF | 31.12 MB
Gain a clear understanding of the basics of the finite element method (FEM) with this simple, direct, contemporary approach in Logan's A FIRST COURSE IN THE FINITE ELEMENT METHOD, Enhanced 6th Edition, SI Version. This unique presentation is written so you can easily comprehend content without the usual prerequisites, such as structural analysis. This book is ideal, whether you are a civil or mechanical engineering student primarily interested in stress analysis and heat transfer, or you need a foundation for applying FEM as a tool in solving practical physical problems. New and expanded real-world examples and problems demonstrate FEM applications in a variety of engineering and mathematical physics-related fields. Each chapter uses a consistent structure with step-by-step, worked-out examples, ideal for undergraduate or graduate-level study. A new WebAssign digital platform provides additional online resources to clarify concepts and assist you in completing assignments.

Deteix J Numerical Methods Mixed Finite Element Problems 2022 | 8.93 MB
N/A | 119 Pages

Title: StardropThe Pink Stuff - The Miracle All Purpose Cleaning Paste
Author: N/A
Year: 2014

Logan D A First Course in the Finite Elem Enhanced 6ed 2023 | 66.47 MB
N/A | 980 Pages

Title: A First Course in the Finite Element Method, Enhanced
Author: Logan, Daryl L.;
Year: 2019

Wenhui M Uncertain Analysis in Finite Elements Models 2022 | 15.95 MB
N/A | 178 Pages

Title: Uncertain Analysis in Finite Elements Models
Author: Mo, Wenhui;
Year: 2018