Snjezana Soltic

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This paper demonstrates how knowledge can be extracted from evolving spiking neural networks with rank order population coding. Knowledge discovery is a very important feature of intelligent systems. Yet, a disproportionally small amount of research is centered on the issue of knowledge extraction from spiking neural networks which are considered to be the(More)
The paper introduces a statistical model and a DENFIS-based model for estimating the potential establishment of a pest insect. They have a common probability evaluation module, but very different clustering and regression modules. The statistical model uses a typical K-means algorithm for data clustering , and a multivariate linear regression to build the(More)
This paper introduces an evolving computational and a statistical model for quantitatively estimating the establishment potential of a pest insect and compares their performances. The models were used to predict the establishment potential of Planocuccus citri (Risso), the citrus mealybug. They have the common clustering and probability evaluation modules,(More)
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