The method is feasible because it only changes inner product operation and the complexity of algorithm doesn't increase.
因为升维后只是改变了内积运算,并没有使算法复杂性随着维数的增加而增加,因此这种方法才是可行的。
A new adaptive variable neural network is developed according to the inner product feature of sample space. This method does not need to iterate learning.
根据样本空间的内积特性,提出一种无需迭代学习的自适应变结构神经网络。
A new adaptive variable neural network is developed according to the inner product feature of sample space. This method does not need to iterate learning.
根据样本空间的内积特性,提出一种无需迭代学习的自适应变结构神经网络。
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