Component Prediction of Antai Pills Based on One-Dimensional Convolutional Neural Network and Near-Infrared Spectroscopy

Algorithm 1

train the one-dimensional convolutional neural network with stochastic gradient descent.

	INPUT: samples: number of samples
	epochs: the training times of all training samples.
	b: the number of samples selected in one training session.
(1)	Initialize(net)
(2)	for epoch = 1; epoch ≤ epochs; epoch++
(3)	for size = 1; size ≤ math.ceil(samples/b); size++
(4)	spectral data ⟵ uniformly random sample b spectral data
(5)	analytes ← uniformly random sample b analytes
(6)	z ⟵ forward(net, spectral data)
(7)	l ⟵ loss(z, analytes)
(8)	grad ⟵ backward(l)
(9)	update(net, grad)
(10)	end for
(11)	end for