A neural network approach for marketing strategies research and decision support
A neural network approach for marketing strategies research and decision support
Introduction to artificial neural systems
Introduction to artificial neural systems
Backpropagation: some comments and variations
Backpropagation
A data model for approximate query processing of real-time databases
Data & Knowledge Engineering
Feature-based cost estimation for packaging products using neural networks
Computers in Industry
A neural network approach for early cost estimation of packaging products
Computers and Industrial Engineering
A methodology for modelling manufacturing costs at conceptual design
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
A feature-based prototype system for the evaluation and optimisation of manufacturing processes
Computers and Industrial Engineering
Advances in Feedforward Neural Networks: Demystifying Knowledge Acquiring Black Boxes
IEEE Transactions on Knowledge and Data Engineering
An integrated model for supplier selection decisions in configuration changes
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Cost estimation of plastic injection molding parts through integration of PSO and BP neural network
Expert Systems with Applications: An International Journal
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Plastic injection products have been widely used in various household necessities and high-tech commodities. For getting the bigger target market share and the advantage of leading the product price, the plastic injection product manufacture shall control the cost of the product being developed at the development stage to find out how much percentage of the profit can participate in the price competition. Therefore, this study emphasizes to propose a cost estimation model which is based on BPN (back-propagation network) with feature-based models to dramatically simplify the complex conventional cost estimation procedures and computation parameters requested. Finally, the application of this model is illustrated through a case study of a notebook computer product for cost estimation and the results show that its efficiency and effectiveness in solving the cost estimation problem of plastic injection products at the development stage.