CCS Concepts  
• General and reference $\rightarrow$ Surveys and overviews ;  
$\bullet$ Computing methodologies $\rightarrow$ Knowledge representation and reasoning ; Neural networks ; Classification and regression trees .  

ACM Reference Format:  

1 INTRODUCTION  
1.1 Review for Benefits and Limitations of NNs  
1.2 Review of DTs and Their Developments  
1.3 Neural Trees: Integration of NNs and DTs  
1.4 Outline of This Survey  

2 NON-HYBRID: NNs AND DTs COOPERATED APPROACHES  
2.1 DTs as Structural Priors of NNs  
2.2 DTs for Approximating NNs  
2.3 NNs for Designing DTs  

3 SEMI-HYBRID: NNs LEVERAGING CLASS HIERARCHIES  

4 HYBRID: NEURAL DECISION TREES  

5 ANALYSIS AND PROSPECTS  

6 CONCLUSION