110 Result(s)
within
English
Artificial Intelligence
**a Guoqing
Conference Paper
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Chapter and Conference Paper
Association Rules with Opposite Items in Large Categorical Databases
Traditionally, the association rules discovered from categorical databases are like “Apples⇒Beers”, which means by default we focus on the attribute values which are equal to 1. Usually, we cannot deal with th...
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Chapter and Conference Paper
A Fuzzy-Rough Approach for Case Base Maintenance
This paper proposes a fuzzy-rough method of maintaining Case- Based Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be transformed to a small case library tog...
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Chapter and Conference Paper
Transactional Multiple Agents
In a Multi-agent system (MAS), agents work to achieve common goals. This paper gives a flexible model for writing agents and a mechanism to guarantee correctness of the MAS when agents operate on multiple data...
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Chapter and Conference Paper
A Try for Handling Uncertainties in Spatial Data Mining
Uncertainties pervade spatial data mining. This paper proposes a method of spatial data mining handling randomness and fuzziness simultaneously. First, the uncertainties in spatial data mining are presented vi...
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Chapter and Conference Paper
Rough Spatial Interpretation
Rough set is a new approach to uncertainties in spatial analysis. In this paper, we complete three works under the umbrella of rough space. First, a set of simplified rough symbols is extended on the basis of ...
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Chapter and Conference Paper
Mining Positive and Negative Fuzzy Association Rules
While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy association rules. We show how, by ...
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Chapter and Conference Paper
The Robust Control for Unmanned Blimps Using Sliding Mode Control Techniques
The control system design problem for unmanned blimps has not only theoretical significance but also practical signification because the moving behaviors of blimps are complex nonlinear with coupling, unstruct...
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Chapter and Conference Paper
Dilated Chi-Square: A Novel Interestingness Measure to Build Accurate and Compact Decision List
Associative classification has aroused significant attention in recent years. This paper proposed a novel interestingness measure, named dilated chi-square, to statistically reveal the interdependence between ...
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Chapter and Conference Paper
Improvement on the Approximation Bound for Fuzzy-Neural Networks Clustering Method with Gaussian Membership Function
A great deal of research has been devoted in recent years to the designing Fuzzy-Neural Networks (FNN) from input-output data. And some works were also done to analyze the performance of some methods from a ri...
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Chapter and Conference Paper
Approximation Bound for Fuzzy-Neural Networks with Bell Membership Function
A great deal of research has been devoted in recent years to the designing Fuzzy-Neural Networks (FNN) from input-output data. And some works were also done to analyze the performance of some methods from a ri...
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Chapter and Conference Paper
Attribute Uncertainty in GIS Data
Attribute uncertainty may support decision-making and measure the reliability of GIS analysis. This paper presents the attribute uncertainty in GIS data, with a complete perspective of concepts, sources, natur...
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Chapter and Conference Paper
Adaptive Transmission Technique in Underwater Acoustic Wireless Communication
Underwater acoustic channel (UACh) requires robust techniques to get high speed data transmission for reliable communication. If the channel can be estimated and this estimate sent back to the transmitter, the...
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Chapter and Conference Paper
Driving Load Forecasting Using Cascade Neural Networks
This paper presents an approach for solving the driving load forecasting problem based on Cascade Neural Networks with node-decoupled extended Kalman Filtering (CNN-NDEKF). Because of the inherent advantages, ...
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Chapter and Conference Paper
Mining a Complete Set of Both Positive and Negative Association Rules from Large Databases
Association rule mining is one of the key issues in knowledge discovery. In recent years, negative association rule mining has attracted remarkable attention. This paper presents a notion of validity for both ...
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Chapter and Conference Paper
A Feasibility Study of the Design and Calculation of Fully Hydraulic Paper Cutting Machine System
As sort of traditional paper process machinery equipments, paper cutting machines are develo** rapidly in hydraulic, digital display and computer control machines. But a great number of products of the paper...
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Chapter and Conference Paper
IDE Dataflow Analysis in the Presence of Large Object-Oriented Libraries
A key scalability challenge for interprocedural dataflow analysis comes from large libraries. Our work addresses this challenge for the general category of interprocedural distributive environment (IDE) datafl...
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Chapter and Conference Paper
Planning and Control of Biped Walking along Curved Paths on Unknown and Uneven Terrain
This paper investigates the planning and control of biped walking along curved paths on unknown and uneven terrain. For widespread use of biped robots, the capability of walking on unknown and uneven terrain i...
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Chapter and Conference Paper
Application of Artificial Intelligence Technique in Distributed Generation System
This paper gives a brief description of current situation of distributed generation system, and points out that microgrid can run in two kinds of operation modes. The key problems which need to be cautiously c...
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Chapter and Conference Paper
The Optimization of Kernel CMAC Based on BYY Learning
Cerebellar Model Articulation Controller (CMAC) has attractive properties of fast learning and simple computation. The kernel CMAC, which provides an interpretation for the classic CMAC from the kernel viewpoi...
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Chapter and Conference Paper
Integrating Decision Tree and Hidden Markov Model (HMM) for Subtype Prediction of Human Influenza A Virus
Multiple criteria decision making (MCDM) has significant impact in bioinformatics. In the research reported here, we explore the integration of decision tree (DT) and Hidden Markov Model (HMM) for subtype pred...
