D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks

DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework

Danger Theory: The Link between AIS and IDS?

Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms

Degenerate neutrality creates evolvable fitness landscapes

Delta Learning Rule for the Active Sites Model

Dempster-Shafer for Anomaly Detection

Derivation of Upper Bounds on Optimization Time of Population-Based Evolutionary Algorithm on a Function with Fitness Plateaus Using Elitism Levels Traverse Mechanism

Design and classification of dynamic multi-objective optimization problems

Design of a P System based Artificial Graph Chemistry

Design of Emergent and Adaptive Virtual Players in a War RTS Game

Design of statistical quality control procedures using genetic algorithms

Design, Implementation, and Cooperative Coevolution of an Autonomous/ Teleoperated Control System for a Serpentine Robotic Manipulator

Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods

Detecting lateral genetic material transfer

Deterministic Autopoietic Automata

Developing a supervised training algorithm for limited precision feed-forward spiking neural networks

Development and Evolution of Neural Networks in an Artificial Chemistry

Diagnostic Rule Extraction Using Neural Networks

Digital Business Ecosystems: Natural Science Paradigms