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Distributed Prediction and Hierarchical Knowledge Discovery by ARTMAP Neural Networks

Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test

The Brain’s Cognitive Dynamics: The Link between Learning, Attention, Recognition, and Consciousness

An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data

Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance

Creating a Smart Virtual Personality

Combining Support Vector Machines and ARTMAP Architectures for Natural Classification

Intelligent Navigation on the Mobile Internet

The Evolution of Evolutionary Computation

A Unified Model Maintains Knowledge Base Integrity

ART-Based Neuro-fuzzy Modelling Applied to Reinforcement Learning

Formal Argumentation Frameworks for the Extended Generalized Annotated Logic Programs

AFC: ART-Based Fuzzy Classifier

Intelligent Assistance, Retrieval, Reminder and Advice for Fuzzy Multicriteria Decision-Making

Specifying and Validating Reactive Systems with CommonKADS Methodology

Facilitating Electronic Business Planning with Decision Making Support Systems

TMMT: Tool Supporting Knowledge Modelling

Critical Context for Decision Making: A Modeling Approach Based on a Re-planning Tool

State-Based Planning with Numerical Knowledge

A Framework to Assess Intelligent Decision-Making Support Systems

KAMET II: An Extended Knowledge-Acquisition Methodology

Automated Knowledge Acquisition by Relevant Reasoning Based on Strong Relevant Logic

Design, Integration and Evaluation of an Artificial Intelligence-Based Control System for the Improvement of the Monitoring and Quality Control Process in the Manufacturing of Metal Casting Components

ConcepTool: Intelligent Support to the Management of Domain Knowledge

Combining Revision Production Rules and Description Logics

Fuzzy Support Systems for Discretionary Judicial Decision Making

Knowledge Support for Modeling and Simulation

Intelligent Decision Making Support through Just-in-Time Knowledge Management

Expert System for Simulating and Predicting Sleep and Alertness Patterns

Integrating Simulation and Argumentation in Organizational Decision Making

Two Expert Diagnosis Systems for SMEs: From Database-Only Technologies to the Unavoidable Addition of AI Techniques

Perceptual Grouping to Motion Direction and Speed in Apertures

Assignment of Figural Side to Contours Based on Symmetry, Parallelism, and Convexity

Using Conceptual Decision Model in a Case Study

Neural Network Model Restoring Partly Occluded Patterns

Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms

Face Localization in the Neural Abstraction Pyramid

Selective-Learning-Rate Approach for Stock Market Prediction by Simple Recurrent Neural Networks

A Model for Selective Visual Attention Based on Discrete Scale-Spaces

A Neural-Network Technique for Recognition of Filaments in Solar Images

A Trainable Object-Detection Method Using Equivalent Retinotopical Sampling and Fisher Kernel

Learning Multi-class Neural-Network Models from Electroencephalograms

Self-Organizing Feature Maps for HMM Based Lip-Reading

Establishing Safety Criteria for Artificial Neural Networks

A Convolutional Neural Network VLSI for Image Recognition Using Merged/Mixed Analog-Digital Architecture

Neural Chaos Scheme of Perceptual Conflicts

Learning of SAINNs from Covariance Function: Historical Learning

Making Intelligent Learning Technologies Meaningful: Practical Lessons Learnt from Public Administration Training Programs in South Africa and Canada

Use of the Kolmogorov’s Superposition Theorem and Cubic Splines for Efficient Neural-Network Modeling

Using Communication Preference and Mapping Learning Styles to Teaching Styles in the Distance Learning Intelligent Tutoring System – WISDeM

The Influence of Prior Knowledge and Related Experience on Generalisation Performance in Connectionist Networks

Evaluation of Discussions in Online Classrooms

Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks

Web-Based Synchronized Multimedia System Design for Teaching/Learning Chinese as a Foreign Language

Invariants and Fuzzy Logic

An Integrated Courseware Usability Evaluation Method

Newsvendor Problems Based on Possibility Theory

Development of a Level-Based Instruction Model in Web-Based Education

Uncertainty Management in Rule Based Systems Application to Maneuvers Recognition

Using Fuzzy Techniques to Model Students in Web-Based Learning Environments

Fuzzy Coefficients and Fuzzy Preference Relations in Models of Decision Making

The Use of Conceptual Graphs for Interactive Student Modelling and Adaptive Web Explanations

Mining Fuzzy Rules for a Traffic Information System

Supporting Collaborative Knowledge Building with Intelligent Agents

Possibilistic Hierarchical Fuzzy Model

Providing Personalised Recommendations in a Web-Based Education System

Fuzzy Knowledge Based Guidance in the Homing Missiles

A Rule-Based Formalism for Describing Collaborative Adaptive Courses

Evolutionary Design of Rule Changing Cellular Automata

User Modeling on Adaptive Web-Based Learning Communities

Dynamic Control of the Browsing-Exploitation Ratio for Iterative Optimisations

Preventing Student Dropout in Distance Learning Using Machine Learning Techniques

Intelligent Motion Generator for Mobile Robot by Automatic Constructed Action Knowledge-Base Using GA

Evaluation of an Intelligent Web-Based Language Tutor

Population-Based Approach to Multiprocessor Task Scheduling in Multistage Hybrid Flowshops

Domain Knowledge Acquisition and Plan Recognition by Probabilistic Reasoning

A New Paradigm of Optimisation by Using Artificial Immune Reactions

Web Based Education as a Result of AI Supported Classroom Teaching

Multi-objective Genetic Programming Optimization of Decision Trees for Classifying Medical Data

From Web-Based Educational Systems to Education on the Web: On the Road to the Adaptive Web

A Study of the Compression Method for a Reference Character Dictionary Used for On-line Character Recognition

Qubit Neural Network and Its Efficiency

Mercer Kernels and 1-Cohomology of Certain Semi-simple Lie Groups

On-line Profit Sharing Works Efficiently

Quaternion Neural Network and Its Application

Building Up of a Pen Oriented Human-Software Interface with Complex-Valued Spiking Machines

Fast Feature Ranking Algorithm

Pitch-Asynchronous Overlap-Add Waveform-Concatenation Speech Synthesis by Using a Phase-Optimizing Neural Network

Visual Clustering with Artificial Ants Colonies

Maximizing Benefit of Classifications Using Feature Intervals

A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks

Parameter Estimation for Bayesian Classification of Multispectral Data

Some Properties of the Network Consisting of Two Complex-Valued Nagumo-Sato Neurons

Goal Programming Approaches to Support Vector Machines

Ontology-Based Medical Information Service System

Asymmetric Triangular Fuzzy Sets for Classification Models

Abstraction of Long-Term Changed Tests in Mining Hepatitis Data

Machine Learning to Detect Intrusion Strategies

A Classification Capability of Reflective Neural Networks in Medical Databases

On the Benchmarking of Multiobjective Optimization Algorithm