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Fundamentals of Computational Intelligence : Neural Networks, Fuzzy Systems, and Evolutionary Computation

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Simulation and Computational Red Teaming for Problem Solving

Complex-Valued Neural Networks : Advances and Applications

Biometrics : Theory, Methods, and Applications

Clustering

Unsupervised Learning : A Dynamic Approach

Computational Intelligence and Feature Selection : Rough and Fuzzy Approaches

Perceptual Computing : Aiding People in Making Subjective Judgments

Computational Intelligence in Bioinformatics

Introduction To Type-2 Fuzzy Logic Control : Theory and Applications

Evolving Intelligent Systems : Methodology and Applications

Simulation and Computational Red Teaming for Problem Solving

Simulation and Computational Red Teaming for Problem Solving

Complex-valued neural networks: advances and applications

Unsupervised learning: a dynamic approach

Fundamentals of computational intelligence: neural networks, fuzzy systems, and evolutionary computation

Computational intelligence and feature selection: rough and fuzzy approaches

Computational intelligence in bioinformatics

The foundations of social intelligence: a cultural algorithms perspective

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

The Foundations of Social Intelligence: A Cultural Algorithms Perspective

Introduction to type-2 fuzzy logic control: theory and applications

Biometrics: theory, methods, and applications

Complex-valued neural networks: advances and applications

Introduction to type-2 fuzzy logic control: theory and applications

Reinforcement learning and approximate dynamic programming for feedback control

Emergent information technologies and enabling policies for counter-terrorism

Fundamentals of computational intelligence: neural networks, fuzzy systems, and evolutionary computation

Unsupervised learning: a dynamic approach

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