£135.50

Springer - Computational Mechanics with Neural Networks Book

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Description

Infectious diseases remain a leading cause of death and disability on a global scale. This volume from Cambridge University Press provides a wide range of quantitative approaches to help researchers understand how these diseases move through populations. By studying these patterns, experts can better design control strategies to reduce the impact of outbreaks on society. This book brings together diverse mathematical expertise to address complex public health challenges. Readers will find content covering deterministic and stochastic modelling alongside statistical data analysis. The contributors represent a broad spectrum of applied fields, including biological, medical, and social sciences. This collection is designed to increase interaction between different scientific disciplines to improve our understanding of infectious disease dynamics and the development of effective prevention methods.

Key Features

Part of the specialized Lecture Notes on Numerical Methods in Engineering and Sciences series.

Published by Springer, a leading name in academic and scientific literature.

Focuses on the integration of neural networks within the field of computational mechanics.

Targeted toward readers interested in AI, machine learning, and computer science.

Provides technical insights into numerical methods for engineering and scientific applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 February 2022
Listed Since
01 February 2022

Barcode

No barcode data available

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