The results show that the fitting curve is very smooth using neural network algorithm with Fourier orthogonal basis function, and its fitting precision is very high.
研究结果表明,用傅立叶正交基函数神经网络算法拟合的曲线十分光滑,拟合精度高。
参考来源 - 神经网络优化方法及其在信息处理中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
为简化模型的计算复杂度，开发了一种基于正交基函数展开的学习算法。
To simplify the calculation, a learning algorithm based on the expansion of the orthogonal basis functions is developed.
在改进BP算法与网络训练的结合过程中，权函数及输入函数皆被用同一正交基函数展开。
In the process of application of Improved BP algorithm in PNN, the input functions and the network weight functions are represented as expansion of a same orthogonal function basis.
提出一种基于正交基函数的小波神经网络设计方法，采用多分辨率学习确定隐含层结构，并用收敛较快的阻尼最小二乘法训练权值。
In this approach the network structure is determined by multiresolution learning, and the weights are trained by damped least squares which has fast convergent rate.
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