An Assessment and Analysis Model of Psychological Health of College Students Based on Convolutional Neural Networks

Table 1

Distribution of sample characteristics in four different layer of the CNN in the assessment and analysis model of psychological health of college students.

Item	Feature extraction layer	Convolutional layer	Pooling layer	Full connection layer
Text corpus	A	d	(5)	[4]
Vector model	C	a	(1)	[2]
Indicator evaluation	C	b	(2)	[1]
Cognition	D	c	(2)	[5]
Adaptation	D	c	(4)	[5]
Emotion	B	a	(3)	[5]
Pressure	B	a	(5)	[2]
Guidance	A	d	(2)	[4]
Individual growth	D	c	(1)	[3]
Positive relationship	C	b	(1)	[2]
Environment control	A	a	(5)	[1]
Experiential learning	C	b	(4)	[1]
Self-regulation	D	c	(3)	[2]
Self-acceptance	D	b	(3)	[3]
Self adaptability	A	d	(3)	[5]
Self-motivation	A	b	(2)	[4]
Self-awareness	B	a	(1)	[3]
Sensitivity	C	a	(5)	[2]
Initiative	D	d	(4)	[1]

Note. A-Multivariate; B-Multilevel; C-Strong coupling; D-Autonomy; a-Purposefulness; b-Emotional control; c-Independence; d-Interpersonal perception; (1)-Cooperation; (2)-Fulfillment; (3)-Responsibility; (4)-Purpose; (5)-Competence; [1]-Variability; [2]-Urgency; [3]-Uncertainty; [4]-Complexity; [5]-Multiple.