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Author: I. M. Mujtaba
Publisher: World Scientific
ISBN: 1860942636
Category : Technology & Engineering
Languages : en
Pages : 423
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Book Description
This book is a follow-up to the IChemE symposium on ?Neural Networks and Other Learning Technologies?, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in various aspects of process engineering problems ? modelling, estimation, control, optimisation and industrial applications.
Author: I. M. Mujtaba
Publisher: World Scientific
ISBN: 1860942636
Category : Technology & Engineering
Languages : en
Pages : 423
Get Book Here
Book Description
This book is a follow-up to the IChemE symposium on ?Neural Networks and Other Learning Technologies?, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in various aspects of process engineering problems ? modelling, estimation, control, optimisation and industrial applications.
Author: M A Hussain
Publisher: World Scientific
ISBN: 178326148X
Category : Computers
Languages : en
Pages : 423
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Book Description
This book is a follow-up to the IChemE symposium on “Neural Networks and Other Learning Technologies”, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in various aspects of process engineering problems — modelling, estimation, control, optimisation and industrial applications.
Author: Xingui He
Publisher: Springer Science & Business Media
ISBN: 3540737626
Category : Computers
Languages : en
Pages : 240
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Book Description
For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.
Author: Alma Y Alanis
Publisher: Academic Press
ISBN: 0128182474
Category : Science
Languages : en
Pages : 176
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Book Description
Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.
Author: Jingzheng Ren
Publisher: Elsevier
ISBN: 012821743X
Category : Technology & Engineering
Languages : en
Pages : 542
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Book Description
Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. - Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms - Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis - Gives direction to future development trends of AI technologies in chemical and process engineering
Author: Rita Maria de Brito Alves
Publisher: Elsevier
ISBN: 0444534350
Category : Science
Languages : en
Pages : 1229
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Book Description
The 10th International Symposium on Process Systems Engineering, PSE'09, will be held in Salvador-Bahia, Brazil on August 16-20, 2009. The special focus of PSE 2009 is Sustainability, Energy and Engineering. PSE 2009 is the tenth in the triennial series of international symposia on process systems engineering initiated in 1982. The meeting is brings together the worldwide PSE community of researchers and practitioners who are involved in the creation and application of computing-based methodologies for planning, design, operation, control and maintenance of chemical and petrochemical process industries. PSE'09 will look at how the PSE methods and tools can support sustainable resource systems and emerging technologies in the areas of green engineering: environmentally conscious design of industrial processes. PSE methods and tools support: - sustainable resource systems - emerging technologies in the areas of green engineering - environmentally conscious design of industrial processes
Author: Iqbal M Mujtaba
Publisher: World Scientific Publishing Company
ISBN: 1911299026
Category : Technology & Engineering
Languages : en
Pages : 417
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Book Description
The batch distillation process has existed for many centuries. It is perhaps the oldest technology for separating or purifying liquid mixtures and is the most frequently used separation method in batch processes. In the last 25 years, with continuous development of faster computers and sophisticated numerical methods, there have been many published works using detailed mathematical models with rigorous physical property calculations and advanced optimisation techniques to address several important issues, such as selection of column configurations, design, operation, off-cut recycling, use of batch distillation in reactive and extractive modes, etc.Batch Distillation: Design and Operation presents excellent, important contributions of many researchers from around the globe, including those of the author and his co-workers./a
Author: Jinfeng Liu
Publisher: MDPI
ISBN: 303897420X
Category : Technology & Engineering
Languages : en
Pages : 231
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Book Description
This book is a printed edition of the Special Issue "New Directions on Model Predictive Control" that was published in Mathematics
Author: Rita Maria de Brito Alves
Publisher: Elsevier
ISBN: 0444534733
Category : Technology & Engineering
Languages : en
Pages : 1230
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Book Description
This book contains the proceedings of the 10e of a series of international symposia on process systems engineering (PSE) initiated in 1982. The special focus of PSE09 is how PSE methods can support sustainable resource systems and emerging technologies in the areas of green engineering. * Contains fully searchable CD of all printed contributions * Focus on sustainable green engineering * 9 Plenary papers, 21 Keynote lectures by leading experts in the field
Author: Patricia Melin
Publisher: Springer
ISBN: 3319611496
Category : Technology & Engineering
Languages : en
Pages : 92
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Book Description
In this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters. The experimental results obtained using the proposed method on real pa-tient data show that when the optimization is used, the results can be better than without optimization. This book is intended to be a refer-ence for scientists and physicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.
