文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
为此我们导出了拟合函数表达式，提出用非线性参数统计模拟地震记录的方法反演q值。
Hence we derive the expression of fitting function and propose a new Q-value inversion method using non - linear parameter statistical modeling of seismic records.
该方法在保持布尔函数弹性的同时能有效提高非线性度。
It increases the nonlinearity effectively while holding the resiliency of the Boolean function.
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