Title :
Neural network approach to R&D projects termination decision and its application
Author :
JianCheng, Guan ; Quan, Liu ; Ning, Ma
Author_Institution :
Sch. of Manage., Beijing Univ. of Aeronaut. & Astronaut., China
Abstract :
Summary form only given. In this paper, a multi-layer neural network is presented to make termination decision for ongoing R&D projects. The strengths of neural networks accrue from the fact that they do not make assumptions of models in advance and from their capability to infer complex underlying relationships. Further some improvements are also presented as follows. A trial algorithm used to optimize the number of nodes in the hidden layer and a genetic algorithm employed to optimize the initial values of the parameters of the neural network are put forward. In addition, an accelerated gradient descent algorithm (the improved back-propagation algorithm) is employed to adjust the values of the parameters of the neural network. At last, in the FANN (feedforward artificial neural networks) determined in this paper, there are three types of processing neurons: fourteen input neurons, five hidden neurons, and one output neuron. In addition, to identify the importance of each variable that influences the implementation of the R&D projects, we introduce the conception of the weight contribution rate
Keywords :
backpropagation; feedforward neural nets; genetic algorithms; gradient methods; multilayer perceptrons; project management; research and development management; R&D projects; accelerated gradient descent algorithm; backpropagation algorithm; feedforward artificial neural networks; genetic algorithm; hidden neurons; input neurons; multi-layer neural network; termination decision; trial algorithm; Artificial neural networks; Genetic algorithms; Multi-layer neural network; Neural networks; Neurons; Pattern recognition; Project management; Research and development; Research and development management; Statistical analysis;
Conference_Titel :
Management of Engineering and Technology, 2001. PICMET '01. Portland International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
1-890843-06-7
DOI :
10.1109/PICMET.2001.952309