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Model development and optimization by Viktor Vladimirovich Ivanov

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Published by Kluwer Academic Publishers in Dordrecht, Boston .
Written in English

Subjects:

  • Mathematical models,
  • Numerical analysis,
  • Mathematical optimization

Book details:

Edition Notes

Includes bibliographical references and index.

Statementby Viktor V. Ivanov.
SeriesApplied optimization ;, v. 28
Classifications
LC ClassificationsQA401 .I93 1999
The Physical Object
Paginationxiv, 249 p. :
Number of Pages249
ID Numbers
Open LibraryOL31076M
ISBN 100792356101
LC Control Number99011148

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  Model Evaluation and Optimization This lesson focuses on how to evaluate a neural network model. Different than working with other kinds of models, when working with neural networks, we modify the network's hyperparameters to improve its ed on: Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial prototypes means that the computer-aided design and analysis of products are taking on major Cited by:   A five step approach to optimization models • Define/describe the problem and gather data • Formulate a mathematical model to represent the real problem • Develop a computer based procedure for deriving solutions to the model • Test/refine the model, perform sensitivity analyses • . This is a Junior level book on some versatile optimization models for decision making in common use. The aim of this book is to develop skills in mathematical modeling, and in algorithms and computational methods to solve and analyze these models in undergraduate students.

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Develop an abstract model. Populate the model with data. Solve the model. Analyze the results. These four steps generally involve different pieces of software working in concert. For mathematical programs, the modeling is often done with an algebraic modeling system. Data can be obtained from a wide range of sources, including spreadsheets.   product-service systems, (ii) the Kano model, (iii) conjoint analysis, (iv) the product value matrix and (v) quality function deployment. Keywords: product, new product development . The optimization procedure creates a separate model to predict performance as a function of the tuning parameters and can then make a recommendation as to the next candidate set to evaluate. Once this new point is assessed, the model is updated and the process continues for a set number of iterations (Jones, Schonlau, and Welch ) production. An optimization algorithm is a procedure which is executed iteratively by comparing various solutions till an optimum or a satisfactory solution is found. With the advent of computers, optimization has become a part of computer-aided design activities. There are two distinct types of optimization algorithms widely used today.