A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
The generation of complex entities with advantageous behaviours beyond our manual design capability requires long-term incremental evolution with continuing emergence. In this pap...
: There are many different ways to specify the requirements of complex software systems, and the optimal methods often vary according to the problem domain. We apply and compare tw...
Background: Gene expression microarray and other multiplex data hold promise for addressing the challenges of cellular complexity, refined diagnoses and the discovery of well-targ...
Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J. Orto...
Radiotherapy planning is a complex problem which requires both expertise and experience of an oncologist. A Case Based Reasoning (CBR) system is developed to generate dose plans f...