Determining the saliency of input variables in neural network classifiers
Computers and Operations Research
Computational Economics - Computational Studies at Stanford
Neural network credit scoring models
Computers and Operations Research - Neural networks in business
A methodology to explain neural network classification
Neural Networks
International Journal of Intelligent Systems in Accounting and Finance Management
Expert Systems with Applications: An International Journal
Improved technology scoring model for credit guarantee fund
Expert Systems with Applications: An International Journal
Building credit scoring models using genetic programming
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Various types of Technology Credit Guarantees (TCGs) have been issued to support technology development of start-up firms. Technology evaluation has become a critical part of TCG system. However, general technology credit scoring models have not been applied reflecting the special phenomena of start-ups, which are distinguishable from those of established firms. Furthermore, somewhat complicated approaches have been applied to existing models. We propose a rather simple decision tree-based technology credit scoring for start-ups which can serve as a-replacement for the complicated models currently used for general purposes. Our result is expected to provide valuable information to evaluator for start-up firms.