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Computational Intelligence
Computational intelligence refers to intelligence artificially realised through computation. Artificial intelligence emerged as a computer science discipline in the mid-1950s.
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Neural Network Applications in Intelligent
In recent years, artificial neural networks have been applied to solve a variety of problems in numerous areas of manufacturing at both system and process levels.
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Holonic Metamorphic Architectures
Holonic Metamorphic Architectures for Manufacturing: Identifying Holonic Structures in Multiagent Systems by Fuzzy Modeling
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Neural Network Applications
Neural Network Applications for Group Technologyand Cellular Manufacturing
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Application of Fuzzy Set Theory in Flexible Manufacturing System Design
In design of a flexible manufacturing system (FMS), different combinations of scheduling rules can be applied to its simulation model. Each combination satisfies a very limited number of performance measures (PM). Evaluation of scheduling rules is an inevitable task for any scheduler.
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Genetic Algorithms in Manufacturing System Design
Batch manufacturing is a dominant manufacturing activity in many industries due to the demand for product customization.
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Intelligent Design Retrieving Systems Using Neural Networks
Design is a process of generating a description of a set of methods that satisfy all requirements. Generally speaking, a design process model consists of the following four major activities: analysis of a problem, conceptual design, embodiment design, and detailing design.
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Soft Computing for Optimal Planning and Sequencing of Parallel Machining Operations
Parallel machines (mill-turn machining centers) provide a powerful and efficient machining alternative to the traditional sequential machining process.
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Application of Genetic Algorithms and Simulated Annealing in Process Planning Optimization
Process planning represents the link between engineering design and shop floor manufacturing.
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Production Planning and Scheduling Using Genetic Algorithms
Production scheduling problems concern the allocation of limited resources over time to perform tasks to satisfy certain criteria.
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Neural Network Predictive Process Models
Neural Network Predictive Process Models: Three Diverse Manufacturing Applications
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Neural Network Applications to Manufacturing Processes: Monitoring and Control
The nature of today’s manufacturing systems is changing with greater speed than ever and is becoming tremendously sophisticated due to rapid changes in their environments that result from customer demand and reduced product life cycle.
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Computational Intelligence in Microelectronics Manufacturing
New knowledge and tools are constantly expanding the range of applications for semiconductor devices, integrated circuits, and electronic packages.
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Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Set Theory
Monitoring and diagnosis play an important role in modern manufacturing engineering. They help to detect product defects and process/system malfunctions early, and hence, eliminate costly consequences.
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Fuzzy Neural Network and Wavelet for Tool Condition Monitoring
To reduce operating costs and improve product quality are two objectives for the modern manufacturing industries, so most manufacturing systems are fast converting to fully automated environments such as computer integrated manufacturing (CIM) and flexible manufacturing systems (FMS).
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Neural Networks and Neural-Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling Operations
Different machining processes produce different products with varying qualities. When evaluating the quality of a finished piece, surface roughness is the most important result of the machining process to consider, because many product attributes can be determined by how well the surface finish is produced.
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Intelligent Quality Controllers for On-Line Parameter Design
Besides aggressively innovating and incorporating new materials and technologies into practical, effective, and timely commercial products, in recent years, many industries have begun to examine new directions that they must cultivate to improve their competitive position in the long term.
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A Hybrid Neural Fuzzy System for Statistical Process Control
A hybrid neural fuzzy system is proposed to monitor both process mean and variance shifts simultaneously.
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RClass*: A Prototype Rough-Set
RClass*: A Prototype Rough-Set and Genetic Algorithms Enhanced Multi-Concept Classification System for Manufacturing Diagnosis 19.1 Introduction 19.2 Basic Notions 19.3 A Prototype Multi-Concept Classification System 19.4 Validation of RClass * 19.5 Application of RClass * to Manufacturing Diagnosis 19.6 Conclusions 19.1 Introduction Inductive learning or classification of objects from large-scale empirical data sets is an important research area in artificial intelligence (AI). In recent years, many techniques have been developed to perform inductive learning. Among them, the decision tree learning technique is the most popular. Using such a technique, Quinlan [1992] has successfully developed the Inductive Dichotomizer 3 (ID3), and its later versions C4.5 and C5.0 (See 5.0) in 1986, 1992, and...
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Computational Intelligence in Manufacturing Handbook
This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated.
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Electronica - Robotics
The word “robot” was introduced by the Czech playright Karel ˇ Capek in his 1920 play Rossum’s Universal Robots.This is a book about creating robots with the LEGO® MINDSTORMS™ Robotic Invention System (RIS)™. If you've always dreamed of building and programming your own robots, this is your big chance—the RIS set makes it easy to get started. There...
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Introducing the MC68HC12
Like any truly general purpose microcontroller, the new MC68HC12 family is going to mean a lot of different things to a lot of different users.
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ELECTRONIC and CIRCUIT ANALYSI using MATLAB
ELECTRONICS and CIRCUIT ANALYSIS using MATLAB
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FRONT
Digital Signal Processing (DSP) is concernedwith the theoretical and practical aspects of representing information bearing signals in digital form and with using computers or special purpose digital hardware either to extract that information or to transform the signals in useful ways.
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Manual Edition 06/2003
This LOGO! manual provides you with information about the creation of circuit programs, about the installation and use of LOGO! 0BA4 devices and expansion modules, and about their compatibility to the previous 0BA0-0BA3 versions (0BAx are the last four characters of the order number and differentiate the device series).
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Hướng dẫn sử dụng Syswin
Syswin là một phần mềm lập trình cho PLC OMRON dưới dạng Ladder Diagram thực thụ chạy trong Windows
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Information Management Support Systems And Multimedia Technology
Advances in computer technology and information systems have created new opportunities as well as challenges to the management of information resources. In the past two decades or so, information management has become a key issue of interest to both researchers and practitioners since the advent of computers. The issue has become more of a concern and a challenge to both communities with the tremendous advances in computer technology and information systems in recent times. The heightened concern and challenge is, in part, due to the tremendous amount of information generated with the advancement of computer technology and information systems....
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