B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
The mapping relationship between machining parameters and cutting forces in different tool wear states was built up by means of B-spline neural network in this new methodology model.
通过比较实时采集的切削力与不同刀具磨损值对应的切削力大小，可确定刀具的磨损状态，并利用建立的简化模型计算刀具的精确磨损值。
A new recurrent neural network based on B-spline function approximation is presented. The network can be easily trained and its training converges more quickly.
提出一种新的基于基本样条逼近的循环神经网络，该网络易于训练且收敛速度快。
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