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LM神经网络在鱼类胚胎保存抗冻剂毒性试验设计中的应用
邵磊^1,2, 肖志忠³
1.中国海洋大学信息科学与工程学院;2.青岛大学师范学院;3.中国科学院海洋研究所

摘要:

采用LM算法神经网络对鱼类胚胎冷冻保存抗冻剂毒性试验数据进行了分析,研究了孵化率和抗冻剂种类、浓度以及平衡时间等因素之间的对应关系,为鱼类胚胎冷冻保存的研究提供了新的分析手段,研究结果表明这一方法行之有效。

关键词: 神经网络 LM算法试验设计抗冻剂毒性低温保存

DOI：

分类号:

基金项目:国家863计划资助项目(2003AA603510);国家自然科学基金资助项目(30571427)

Study on the experimental design of cryoprotectant toxicity to fish embryo cryopreservation based on LM neural networks

Abstract:

In this paper, we analyze the cryoprotectant toxicity to the fish embryo cryopreservation based on LM neural networks, and study the influences of the types and thickness of the cryoprotectants and the balancing time on the hatching rate. Results show that this method is effective and the study gives a new analyzing method to study fish embryo cryopreservation.

Key words: neural networks LM algorithm experimental design cryoprotectant toxicity cryopreservation

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