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针对船用系泊缆绳安全智能报警系统中的表格试验数据，提出了应用神经网络技术的智能数据处理方法。该方法克服了传统数据处理方法一般难以找到合适的逼近函数、处理过程复杂的弱点，避免了传统数据处理方法上的不便性和局限性，实现了表格数据非线性输入输出的映射。通过样本学习而建立的网络可以提高数据的取用效率，具有很大的灵活性和适用性。这是一种很有应用价值的数据处理方法。
In view of the table test data in the marine mooring cable safety intelligent alarm system, an intelligent data processing method using neural network technology is proposed. The method overcomes the traditional data processing method is generally difficult to find a suitable approximation function, the complex process of weaknesses, to avoid the inconvenience and limitations of the traditional data processing methods to achieve a tabular mapping of non-linear input and output data. The network established through sample learning can improve the efficiency of data access, with great flexibility and applicability. This is a very useful method of data processing.