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A new classifier applied to biological early warning systems for toxicity detection

Biological early warning systems(BEWS) has been developed in recent years. BEWS detects toxicity by tracking the physiologic responses of the whole organisms. In the paper, we apply the classification technique to the biological early warning systems and propose a new BEWS which is meaningful to biological field. Meanwhile, how to select the features in such classification application is also a contribution of this paper. By using the fractal dimension theory, we define the input features which represent the organism characteristics in non-toxic or toxic environment. The experiment results show that the proposed new bio-monitoring system is effective for environmental toxicity detection.