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Cooperative detection with networked radars was an effective way of detecting the sea-skimming anti-ship cruise missile (ASCM). The compound form of K-distribution sea clutter model was introduced to calculate probability of detection of sea skimming target in sea clutter and noise, the detection performance of single air-borne radar and ship-borne radar was calculated and compared. The detection performance of 3 cooperation dispositions was evaluated with the criterion of coverage area ratio and mean track initiation distance. The result showed cooperative detection had prominently extend the high detection probability area, the max mean detection distance of cooperative detection was 3 times more than that of single ship-borne case, and the cooperation between air-borne radar and ship-borne radar had a better performance.

Particle swarm optimization (PSO) is a new optimization method with strong global search capability. In present work, PSO-support vector regression (SVR) model was proposed to predict the toxicity of organic compounds to tadpoles (Rana japonica), in which PSO was used to determine free parameters of SVR. These results showed that the prediction accuracy of PSO-SVR model is higher than those mode of MLR and PLS. Moreover, Bayesian networks (BNs) was adopted to describe the relationship between toxicity associated with molecular descriptors in this work. The result of BNs was considered to be reasonable.