By introducing a group of function orthogonal basis into the input space, the input functions and the network weight functions are expressed in the expansion form.
在输入空间中引入一组函数正交基，将输入函数和网络权函数表示为该组正交基的展开形式，利用基函数的正交性简化过程神经元聚合运算。
In consideration of the complexity of the aggregation operation of time in process neural networks, a new learning algorithm based on function orthogonal basis expansion is proposed.
该文在考虑过程神经网络对时间聚合运算的复杂性的基础上，提出了一种基于函数正交基展开的学习算法。
The mathematical model based on orthogonal function as fan characteristic curve fitting is introduced and its precision and utility is validated through the calculating example.
介绍了采用正交函数法快速拟合通风机性能曲线的数学模型，通过算例验证了此数学模型的精确性和实用性。
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