A proximate dynamics model for data mining
Expert Systems with Applications: An International Journal
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This paper presents a novel particle dynamics model (PDM) for the adaptive self-organization of software processes in complex distributed environment 1. Differing from traditional models, the particle dynamics model regards software processes in distributed environment as a random Markov process, and hence establishes self-organizing networks for software processes. The conception, algorithm and properties of PDM are discussed. The PDM-based selforganizing software processes has advantages in terms of the real-time performance, adaptability, reliability and the learning ability.