Complex process modeling control (2 résultats)
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Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
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Vendeur : liu xing, Nanjing, JS, Chineliu xing
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EUR 15,40 expéditionExpédition depuis Chine vers Etats-UnisQuantité disponible : 10 disponible(s)
paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 302 Publisher: Science Pub. Date :2010-12-01 version 1. Complicated non-ferrous metallurgy production process intelligent modeling. control and optimization. summed up the GUI Wei-professor… research team for many years engaged in non-ferrous metallurgy production process automation The study. involving solve non-ferrous metallurgy production process automation problems of the theory. methods. techniques and systems to achieve and so on. Shuzhonggeichu Le intelligent integrated Jianmo De Sixiang. Miaoshu Le intelligent integrated Jianmo basic form Hu Jiegou. Chanshu Le Duozhongjiyu Shenjingwangluo De intelligent integrated Jianmofangfa; Taolun Liao Fuza Yousejinzhu Shengchanguocheng De Intelligent Optimal Control Wenti . to the factory intelligent optimization control structure. discusses plant operating mode optimization problem; for lead. zinc. copper. aluminum and other major non-ferrous metal smelting production process and aluminum production of major equipment. detailed description of the intelligent integrated modeling. intelligent optimization control and operating mode optimization theory and methods in a typical metallurgical: processes and equipment in the implementation and application.and control provide a reference and reference. Complex non-ferrous metallurgy production process intelligent modeling. control and optimization for the study of process optimization control engineers and researchers to read. but also may serve as undergraduate and research cattle teaching reference books. Contents: Information technology and industrialization. the integration of two research and application of Series sequence order Preface Chapter 1 Introduction 1.1 China Nonferrous Metals Industry Development 1.2 non-ferrous metal smelting characteristics 1.2.1 non-ferrous metal smelting process Introduction 1.2.2 non-ferrous metals smelting production is characterized by 1.3 nonferrous metal production process automation technology 1.4 book. the main contents of references Chapter 2 Intelligent Integrated Modeling 2.1 intelligent integrated modeling of the proposed 2.2 intelligent integrated modeling of the basic framework 2.2.1 Basic concepts 2.2. 2 intelligent integrated modeling the form and structure 2.2.3 intelligent integrated modeling the formal description of the 2.3 intelligent integrated modeling project to achieve 2.4 Summary References Chapter 3. based on neural network intelligent integrated modeling method 3.1 neural network development over 3.2 layer feed-forward neural network structure. the algorithm over 3.3 neural network integrated modeling method 3.3.1 Adaptive supervised the distribution of neural networks made 3.3.2ASDNN the overall structure of 3.3.3ASDNN sample space of supervised clustering 3.3.4ASDNN network adaptive learning 3.4 neural network and traditional modeling integration 3.4.1 two modeling approaches integrate the necessity and feasibility 3.4.2 two types of modeling the integration of form 3.5 neural networks and other intelligent method integrates modeling 3.5.1NN and FS integration of modeling feasibility 3.5.2NN and FS. integrated form 3.5.3 to use fuzzy logic to enhance the neural network 3.5.4 fuzzy system network integrated modeling method 3.6 Summary Reference documents Chapter 4 complex colored metallurgy production Intelligent Optimization Control 4.1 Smart optimization control problem 4.2 Intelligent Integrated Optimization Control Structure 4.3 nonferrous metallurgical processes operating mode optimized 4.3.1 Operation mode to optimize the proposed 4.3.2 Operation mode defines 4.3.3 Data-driven mode of operation optimization framework 4.4 engineering intelligent optimization algorithm 4.4.1 engineering optimization algorithm classification 4.4.2 The simulated annealing algorithm basic idea and characteristics 4.4.3 Genetic algorithm basic idea and characteristics 4.4.4.
