Evaluation of Technology Innovation Capability Based on Artificial Neural Networks

摘要

Nowadays，technology innovation is a fundamental determinant of value creation in enterprises and economic growth. Therefore，the comprehensive evaluation of technology innovation capability is receiving increasing importance among academics and practitioners. The artificial neural network (ANN) is a technique that is studied heavily and used in applications for engineering and scientific fields for various purposes ranging from control systems to urban planning. Its generalization powers have not only received admiration from the engineering and scientitic fields，but in recent years，many innovation researchers are taking an interest in the application of artificial neural networks. The objective of the work described in this paper is to introduce a technique for the evaluation of technology innovation capability.Firstly，an index system is constructed，which includes five aspects interpreted by fourteen indices.Secondly，a BP artificial neural network is illustrated for the evaluation process. The network has three layers：the input layer has 14 neurons;the second layer，hidden layer，has 24 neurons;and only one neuron in the output layer. Then.hased on a survey of 50 beverage companies in China and the network onstructed，an evaluation process is carried out，and the results are compared to the outcomes of fuzzy comprehensive evaluation process.Primary research proves that two methods math very well.