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Research on Non-monotonic Logical Systems in Commonsense Reasoning
Non-monotonic reasoning can be loosely described as the process of drawing conclusions, which may be invalidated by new information. Owing to its close relationship to human common-sense reasoning, non-monotonic inference has become one of t....
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RESEARCH ON KNOWLEDGE DISCOVERY BASED ON CONCEPT LATTICE MODEL
This paper mainly focuses on knowledge discovery based on concept lattice, and extended concept lattice model. The main research work is to make use of concept lattice structure to solve the problem of mining association rules, classificatio....
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Steady-state Optimization and Control Based on Neural Networks
With the development of industrial process automation, not only the safe operation is needed, but also the high yield , high quality and low costs are required. Steady-state optimal control of industrial processes is the assurance of high ec....
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TASK COOPERATION FOR DISTRIBUTED INTELLIGENT SYSTEMS IN THE DYNAMIC ENVIRONMENT
Basing on the theory of multi-agent, analyzed the problem in coordination among the distributed intelligent sub-system with heterogeneity which consist of the large complex system, and did some research in the coordination and control for su....
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Applications of Neural Networks to the Measurement of Multi-Phase Flow
Multi-phase flow processes exit widely in industry filed, the parameter measurement of these processes is very important for resource exploitation or process control. Petrolic mixtures in petroleum pipelines form oil/gas two- phase flow, oil....
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Research on Application of Distribution and Intelligence in Manufacturing System
Manufacturing companies are continuously facing changes in market demands and in their environmental/societal environment. Such market and environment pressures are decreasing product prices, faster delivery times, increasing product variety....
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Study on Applications of Neural Network to Adaptive Equalization
Adaptive Equalizer is a key part of modern data communication system. In this dissertation, we focus on neural network adaptive equalization technique in the presence of non-linear distortion, additive noise and channel burst-interference. T....
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Neural Learning Algorithms for Principal and Minor Components Analysis and Applications
Principal components are the directions in which the input data have the largest variances. Expressing data vectors in terms of the principal components is called Principal Component Analysis (PCA). On the Other hand, the minor components ar....
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Researches on Modeling and Algorithms of Data Reconciliation for Process Industry
Data reconciliation is one of the key elements of CIMS (Computer Integrated Manufacture System) in process industry. By using the redundancy in measurements and process models, it can eliminate mesaurements with gross error (MGEs). reduce ra....
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Researches on Hybrid Modeling of Chemical Processes
Process modeling is the basis of process control and process optimization. The becoming severely market competition and environmental requirements force companies to improve their productivity and efficiency, which poses new requirements on....
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A Study of Multiscale System Modeling,Estimation and Fusion
The multiscale system theory provides a new idea and method to describe the complex and large-scale systems more completely and accurately. In this dissertation, a systemic multiscale modeling, estimation and data fusion theory is developed....
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Research on Methods and Applications of Multisensor Image Information Fusion
Image fusion refers to the techniques that integrate complementary information from multi-image sensor data such that the new images are more suitable for the purpose of human visual perception and computer process such as segmentation, feat....
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Research on Control Strategies for Nonlinear Systems
The paper is concerned with the control strategies of uncertain nonlinear systems and the application on the AC speed adjustable systems. Its main contents includes neural network control, differential geometry control and algebra control.Ba....
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Robust Control of Linear Uncertain Systems
It is almost impossible to obtain an accurate mathematics model for the practical industrial process. The model under which the controller is designed is usually different to the real plant owing to model reduction; linearization approximati....
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STUDIES ON OPTIAML CONTROL FOR HYBRID SYSTEMS
Hybrid systems (HS) are real-time systems that react to both Continuous and discrete activities. Theory of hybrid systems is mainly product of combination of computer science and control theory. The occurrence and the development of hybrid s....
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Research on Method and Application of Robust Optimization for Uncertainty System
From the view of philosophy, uncertainty is the inherent phenomenon of everything. In the subject of system science and system engineering, it is necessary to be taken into accounted hi the process of making decision to system and process, o....
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Study on Predictive Control Algorithms And Their Applications
The history and state of Model Prediclive Control is summarized. The principle of Predictive Control is introduced brielly. In view of the importance of solving Diophantine equation for Predictive Control, the details of its computer-solving....
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THE STUDY OF ANALYSIS AND SYNTHESIS FOR HYBRID SYSTEMS
With the development of information technology, computer, robotic and so on, a class of man-made systems have appeared which reflect technique trend in the area such as communication, manufacture, traffic management, military command, etc.,....
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Studies on Electrochemical Immunosensors for Schistosoma-Japonicum and Interaction of DNA with Sensin
Schistosomiasis, a parasite disease with great harms for human health, is highly prevalent in the most area of Africa, Asia and Latin America. Schistosomiasis diagnosis is an essential but far from well solved global problem due to its biolo....
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Study of Multisensor Image Fusion Methods
In recent years, image fusion has been an important and useful technique for image analysis and computer vision. Image fusion is a technique to combine information from multiple images of the same scene. Multiple source images from various s....
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Research on Information Fusion Theory Based on Multi-Sensor for Network Environment and Their Applied
As a burgeoning theory and technology, the Information Fusion has provided the advanced, credible theoretics and method to solve information disposing and decision making in information times. The research on the information fusion is just u....
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A Study of Sensor Management
With the rapid development of science and technology, especially for sensor, signal detection and processing, and computer, multisensor data fusion technique is also developing rapidly. At the same time, it is a great need especially for mod....
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Immune Evolutionary Computation and Its Application
In recent years, more and more scientists and experts in many research fields are paying attention to the secret of life phenomena and biologic intelligent behaviors. Especially the research on biologic information system, has been gradually....
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Structural Optimum Design Based on Computing Intelligence
It has been very important to find very robust and very efficient algorithms for solving optimization problems at structural optimum design. At the same time, structural analysis occupies an important place in the structural optimum design.....
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Research on the Application of Artificial Neural Network in Textile Area
The research of artificial neural network started from the idea of "mindlike machine" posed by McCulloch and Pitts in 1943. With the development of the research on brain and computer, the subject of the research has been tranfered from "mind....
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Computational Intelligence and Its Application to Engineering
Computational intelligence (Cl) is a computing methodology from nature, which simulates and researches the intelligent behavior from the lowest level of the creature. CI develops the traditional style of computation and provides a new approa....
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Studies on Visual Rice Growth Models and Cultivation Expert System of Computational Intelligence
Visual Rice Growth Models (VRGM) and rice expert system of cultivation management for high yield were established by synthesizing the results of "National Rice Project" and combining the cultivation knowledge, experience of experts, while th....
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Symmetry Studying on the Discrete Hopfield Model Neural Networks
Symmetry is here and there in the nature. One of the functions of the consciousness system is to extract the relatively stable aspects from the varying environment, which imply in the consciousness system invariance under a certain of transf....
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Adversarial Problems Solving Based on Competitive Coevolutionary Genetic Algorithms
Bionics was founded in the mid-1950s. During the process of bionic research, many scientists obtained from the theories of biological evolution some novel methods that can guide the research on artificial systems. These methods included Gene....
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Complex Industrial Systems Modeling Based on Wavelet Networks and Robust Estimation
System modeling is all long regarded as a critical step in automation and optimization. odeling First?is also pursued all the times in industrial applications. Along with technology development at very fast speed and production scale-up, a l....