£157.77

Elsevier Artificial Neural Networks in Chemical Engineering

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Description

Explore the intersection of advanced computing and industrial science with Artificial Neural Networks in Chemical Engineering Processes: From Theory to Applications. Published by Elsevier, this book provides a comprehensive look at how neural network technology is applied within the chemical engineering field. This resource serves as a bridge between theoretical machine learning concepts and practical industrial applications. By focusing on the specific needs of chemical engineering processes, it offers a specialized perspective on how artificial intelligence can be used to model and manage complex systems. Whether you are studying computer science, AI, or chemical engineering, this text provides the necessary foundation to understand how modern computational tools are reshaping traditional engineering workflows. It is a valuable addition to any academic or professional library focused on the evolution of AI and machine learning in technical disciplines.

Key Features

Published by Elsevier, a leading name in academic and technical literature.

Covers the transition from theoretical neural network concepts to real-world applications.

Specifically designed for the field of chemical engineering processes.

Provides a specialized look at AI and machine learning within a technical context.

Suitable for readers interested in the application of computer science to industrial engineering.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 December 2025
Listed Since
30 July 2025

Barcode

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