KBCC is an extension of the cascade-correlation algorithm that treats functions encapsulating prior knowledge as black-boxes which, like simple sigmoidal neurons, can be recruited...
This paper proposes the integration of The Competing Values Framework (Quinn 1984; 1988) with Nonaka and Takeuchi's (1995) knowledge creation and conversion model. Conceptual...
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
This paper presents a simple and novel structure representation supporting the assembly and disassembly planning of electromechanical products. The proposed Relationship Matrix de...
: Addressing new public challenges such as the one-stop government and improved service quality, we introduce serviceflow management as a generic concept to coordinate cross-organi...