£166.56

IGI Global Data-Driven Optimization of Manufacturing Processes

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£167 today · usual range £0–£0 · best ever £148

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Price History & Forecast

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Last 632 days • 632 data points (No recent data available)

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£172.58 £145.53 £151.43 £157.33 £163.24 £169.14 £175.04 09 June 2024 13 November 2024 20 April 2025 25 September 2025 02 March 2026

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Price distribution over 632 days • 9 price levels

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Current Price
10 days 34 days 9 days 452 days 54 days 6 days · current 17 days 19 days 31 days 0 113 226 339 452 £148 £156 £158 £159 £161 £167 £168 £171 £173 Days at Price

Price Analysis

Most common price: £159 (452 days, 71.5%)

Price range: £148 - £173

Price levels: 9 different prices over 632 days

Description

All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 December 2020
Listed Since
09 October 2020

Barcode

No barcode data available

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