دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: 1 نویسندگان: Ricardo Jardim-Goncalves (editor), Vassil Sgurev (editor), Vladimir Jotsov (editor), Janusz Kacprzyk (editor) سری: Studies in Computational Intelligence ISBN (شابک) : 3030387038, 9783030387037 ناشر: Springer Nature Switzerland AG سال نشر: 2020 تعداد صفحات: 367 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 14 مگابایت
در صورت تبدیل فایل کتاب Intelligent Systems: Theory, Research and Innovation in Applications به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب سیستم های هوشمند: نظریه ، تحقیق و نوآوری در کاربردها نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
از شبکه عصبی مصنوعی / نظریه بازی / کاربردهای معنایی، تا ابزارهای مدلسازی، سیستمهای تولید هوشمند، و تحقیقات علم داده - این کتاب مروری کلی بر روشها و کاربردهای هوشمند مدرن یادگیری ماشین، محاسبات تکاملی، فناوریهای صنعت 4.0 و عوامل مستقل ارائه میکند. منجر به اینترنت اشیا و به طور بالقوه یک انقلاب فناوری جدید. اگرچه عمدتاً برای متخصصان فناوری اطلاعات در نظر گرفته شده است، اما به طیف گسترده ای از کاربران فناوری های نوظهور آینده کمک می کند تا با موج هوشمند / هوشمند جدید سازگار شوند. در فصلهای جداگانه، این کتاب چهارده نمونه موفق از پیشرفتهای اخیر در منطقه به سرعت در حال تکامل سیستمهای هوشمند را برجسته میکند. این فصول با پوشش پروژههای بزرگ اروپایی که راه را برای یک همکاری هوشمند/هوشمند جدی هموار میکنند، به عنوان مثال به بررسی این فصل میپردازند. مسائل امنیت سایبری، دیجیتالی شدن سه بعدی، ربات های هوایی و شرکت های کوچک و متوسط که سیستم های تولید فیزیکی-سایبری را معرفی کرده اند. در مجموع، آنها بینش منحصر به فردی را در مورد هوش مصنوعی معاصر و پتانسیل آن برای نوآوری ارائه می دهند.
From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research - this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.
Preface Contents Interpretable Convolutional Neural Networks Using a Rule-Based Framework for Classification 1 Introduction 2 Background Theory and Methods 2.1 Radial Basis Function Neural-Fuzzy Network 2.2 A Convolutional Neural Network 3 Proposed CNN-FL Modelling Structure 3.1 Convolutional Neural Network with an RBF Fuzzy Logic Rule-Base Classification Layer 3.2 Identification of Interpretable Features 4 Simulation Results 4.1 Case Study: MNIST 4.2 Case Study: Fashion MNIST 5 Conclusion References A Domain Specific ESA Method for Semantic Text Matching 1 Introduction 2 Related Work 3 The Approach 3.1 Functional Requirements 3.2 System Design 4 Implementation 5 Evaluation 5.1 Parameters Tuning 5.2 Demonstration of Semantic Relatedness 6 Use Case 6.1 The Initial Testing 6.2 An Additional Experiment 7 Conclusions References Smart Manufacturing Systems: A Game Theory based Approach 1 Introduction 2 Problem Statement 3 Game Theory based Self-learning in Flexible Manufacturing 3.1 Introduction to Dynamic Games 3.2 Learning Algorithm 3.3 Learning System Overview 3.4 Basic Control Layer 3.5 Supervisory Self-learning Modules 4 Results 4.1 Laboratory Testbed 4.2 Implementation 4.3 Experiments 5 Conclusions References Ensembles of Cluster Validation Indices for Label Noise Filtering 1 Introduction 2 Related Work 3 Methods and Technical Solutions 3.1 Cluster Validation Techniques 3.2 Ensembles of Cluster Validation Indices for Label Noise Filtering 4 Evaluation and Results 4.1 Experimental Setup 4.2 Implementation and Availability 4.3 Results and Discussion 5 Conclusions and Future Work References Interpretation, Modeling, and Visualization of Crowdsourced Road Condition Data 1 Introduction 2 Background 3 Two-Phased Model of Data Processing 3.1 Data Gathering 3.2 Data Processing: Manageable Data Sources 4 Integration of the Models in the Prototype System 5 Testing 5.1 Setup 5.2 Results 5.3 Visualization 6 Discussion 6.1 Technical Difficulties 6.2 Interpretation of the Data 6.3 Future Studies 7 Summary References A New Network Flow Platform for Building Artificial Neural Networks 1 Introduction 2 Necessity of Changing the Platform at Building ANN 3 Generalized Network Flows with Gains and Losses 4 Artificial Neural Network as a Generalized Network Flow with Gains and Losses 5 Maximal Flow, Minimal Cut and Additional Linear Constraints in Network-Flow Artificial Neural Networks 6 Numerical Experiment with a Network Flow Artificial Neural Network 7 Conclusion References Empowering SMEs with Cyber-Physical Production Systems: From Modelling a Polishing Process of Cutlery Production to CPPS Experimentation 1 Introduction 1.1 CPMSinCPPS Vision 1.2 Industrial Relevance and Potential Impact 1.3 Current Practices and Existing Problems 1.4 Cyber-Physical Systems in Manufacturing 2 Model-Driven Paradigm for the CPPS 3 CPMSinCPPS Development Framework 3.1 Design Time 3.2 Runtime 4 CPMSinCPPS Architecture 4.1 Process Modeller Module 4.2 Simulation 4.3 Capacity Planner Module 4.4 Scheduler Module 4.5 Process Orchestrator 4.6 Data Collector Module 5 CPMSinCPPS Use-Case 5.1 Design Time 5.2 Runtime 6 Lessons Learnt and Recommendations 7 Final Considerations 7.1 Future Work References Intelligent Approach for Analysis of 3D Digitalization of Planer Objects for Visually Impaired People 1 Introduction 2 Concept and Methodology 3 Ambition and Innovation Potential 4 New Graphical Braille Display 5 InterCriteria Decision Making Approach 6 Experimental Results 7 Conclusion References Semantically Enriched Multi-level Sequential Pattern Mining for Exploring Heterogeneous Event Log Data 1 Introduction 1.1 Data Model Heterogeneity Problem 1.2 Semantic Heterogeneity Problem 1.3 Approach 2 Semantic Integration 3 Multilevel Sequential Pattern Mining 4 Case Study 4.1 Business Goals and Experimental Design 4.2 Data Understanding 4.3 Integrating PV Events with an Ontology 4.4 Finding Recurring Multi-level Event Sequences 4.5 Discussion 5 Conclusion References One Class Classification Based Anomaly Detection for Marine Engines 1 Introduction 2 Background 3 Design of the Test Engine Facility 4 Feature Selection 5 One Class Classification Methods 5.1 Parzen Windows Density Estimation 5.2 Support Vector Novelty Detection 5.3 K-Means 6 Case Studies—Method and Results 6.1 Error Metric 6.2 Case Study 1—Test Engine 6.3 Case Study 2—Ferry Engine 7 Conclusions References Enhanced Methodologies in Photovoltaic Production with Energy Storage Systems Integrating Multi-cell Lithium-Ion Batteries 1 Introduction 2 Hardware Description 2.1 Power Source Unit 2.2 Processing and Control System 2.3 Battery Pack Unit 2.4 Acquisition System Unit 2.5 Power Circuit Unit 3 Proposed Methodologies 3.1 PSO-Based MPPT Method 3.2 Li-Ion Battery Charging Method 4 Experimental Results 4.1 PSO-Based MPPT Method Results 4.2 Li-Ion Charging Method Results 5 Conclusion References Mobility in the Era of Digitalization: Thinking Mobility as a Service (MaaS) 1 Introduction 2 Mobility 2.1 Urban Mobility 2.2 Public Transports (PT) 2.3 Inter-modal Mobility 3 Cities of the Future 3.1 Sustainable Cities 3.2 Smart Cities 4 Mobility as a Service (MaaS) 4.1 Regulation 4.2 Application 4.3 Security 4.4 Integration 4.5 Ticketing 4.6 APP\'s/Platforms 4.7 Extra Services 4.8 Cooperative Services 5 Future MaaS—Some Considerations 6 Conclusion References Fuzzy Modelling Methodologies Based on OKID/ERA Algorithm Applied to Quadrotor Aerial Robots 1 Introduction 2 Takagi-Sugeno Fuzzy Batch Modelling 2.1 Fuzzy C-Means Clustering Algorithm 2.2 Method 1: Estimation of Fuzzy Markov Parameters of the System from Pulse-Response Histories 2.3 Method 2: Estimation of Fuzzy Markov Parameters of the System from State Observer 2.4 Fuzzy Eigensystem Realization Algorithm 3 Implementation of the Proposed Methodologies to Parrot AR.Drone 3.1 Identification Stage Results 3.2 Validation Stage Results 4 Final Remarks 4.1 Conclusions 4.2 Future Works References A Generic Architecture for Cyber-Physical-Social Space Applications 1 Introduction 2 Related Works 3 ViPS in a Nutshell 4 Event Model of ViPS 5 A Referent Personal Assistant 6 Analytical Subspace 6.1 AmbiNet 6.2 TNet 7 A Touristic Guide Assistant 7.1 TG Architecture 7.2 CHH-OntoNet 7.3 Recognition of Folklore Elements Service (RFES) 7.4 TG AmbiNet 8 Conclusion and Future Directions References Analysis of Data Exchanges, Towards a Tooled Approach for Data Interoperability Assessment 1 Introduction 2 Terms and Vocabulary 3 Data Exchanges Analysis for Data Interoperability Assessment 4 Motivation and Related Work 5 Messaging Analysis System for Data Interoperability Assessment 5.1 Messaging Metamodel 5.2 Analysis Queries 5.3 Indicators for Messaging Based Interoperability Requirements 6 Implementation 6.1 Implementation of the Metamodel 6.2 Using Moose as a Platform 7 Case Study 7.1 Goals 7.2 Used Data 7.3 Results 8 Conclusion and Future Work References