Hazards Identification Algorithm

Mekenyan, O., Ivanov, J., Karabunarliev, S., Bradbury, S.P., Ankley, G.T., and Karcher, W., A computationally-based hazard identification algorithm that incorporates ligand flexibility. 1. Identification of potential androgen receptor ligands, Environ. Sci. Tech., 31, 3702-3711, 1997. 

Mekenyan O, Nikolova N, Karabunarliev S, Bradbury S, Ankley G, Hansen, B. New developments in a hazard identification algorithm for hormone receptor ligands. Quant Struct-Act Rel 1999 18 139-53. 

The internal routine, identify-potential-hazard, called from GLOBAL-HAZARD-IDENTIFICATION, retums a potential hazard and the list of the enabling conditions. The algorithm for identify-potential-hazard, expressed in pseudocode, is given below ... 

That a set of characteristics for identification of mine water hazard source are selected by immune algorithm is proposed in this paper. This group of characteristics is few, and the classification ability is strong. With this group of characteristics, the accuracy rate of the recognition of mine water is high. In this paper, the quantitative weight represents the importance of characteristics. 

The mine water hazard source identification data are pretreated by Immune Algorithm (lA), to extract the main characteristics associated with the water source identification. The processed data are classified and recognized with the BPNN. The specific steps of recognition of the water source are as follows ... 

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