Emilie A. Saci and Yves Cherruault
The genicAgent is a particularly original multi‐agent approach that integrates an intelligent technique – neural networks. Genetic algorithms are used to evolve the genicAgent…
Abstract
The genicAgent is a particularly original multi‐agent approach that integrates an intelligent technique – neural networks. Genetic algorithms are used to evolve the genicAgent. This approach has the individual advantages of each separate intelligent technique. The multi‐agent system, based on the genicAgent approach (called GAMAS), is a generator of knowledge‐based problem‐solving systems. The knowledge base can be explicitly defined or can be acquired via both the learning capabilities of the neural network component and the training that occurs during evolution. Focuses only on the description of the genicAgent approach.
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Emilie A. Saci and Yves Cherruault
A neural network approach is proposed for modeling the process of transcriptional initiation control in eukaryotic cells. Although all of the steps involved in expressing a…
Abstract
A neural network approach is proposed for modeling the process of transcriptional initiation control in eukaryotic cells. Although all of the steps involved in expressing a eukaryotic gene can in principle be regulated, for most genes the initiation of RNA transcription (transcriptional control) predominates. Static and dynamic artificial neural networks are taken as modeling methods. A single‐hidden layer feedforward neural network model learns to identify the transcriptional system input‐output relationship.