Intelligent reasoning for processing planning
Computers in Industry
Multilayer feedforward networks are universal approximators
Neural Networks
Case-based reasoning for the structural design of buildings
IEA/AIE '95 Proceedings of the 8th international conference on Industrial and engineering applications of artificial intelligence and expert systems
Self organizing neural networks for financial diagnosis
Decision Support Systems
The development of a hybrid intelligent system for developing marketing strategy
Decision Support Systems
Using soft computing to build real world intelligent decision support systems in uncertain domains
Decision Support Systems - Special issue on decision support in the new millennium
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Neural Networks in Telecommunications
Neural Networks in Telecommunications
Designing Domain Work Breakdown Structure (DWBS) Using Neural Networks
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
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In this paper, a framework which employs neural networks to plan the work breakdown structure of projects has been introduced. Using the proposed framework, a modular neural network has been developed to plan the structures of a limited project domain. The main concepts of the Andishevaran Methodology of Project Management (AMPM), including project control work breakdown structure (PCWBS), functional work breakdown structure (FWBS) and relational work breakdown structure (RWBS), have used to form the outputs of the model and its modules. The nature of projects, which have been represented by a limited set of attributes, are considered as the main inputs of the model. The independency from project domains is the main advantage of the proposed framework. The framework has been tested on a sample domain, and results showed that the planned work breakdown structures and activities have satisfied the expectations with different levels of validity. Therefore the model outputs could be considered as the primary plan of project structures which could be improved by some modifications.