Implementation of Modeller and Simulator for Fish Farming Environmental Information using Petri-Net

Implementation of a Neural Network Using Simulator and Petri Nets

This paper describes construction of multilayer perceptron by open source neural networks simulator Neuroph and Petri net. The described multilayer perceptron solves logical function "xor "exclusive or. The aim is to explore the possibilities of description of the neural networks by Petri Nets. The selected neural network (multilayer perceptron) allows to be seen clearly the advantages and disa...

Marine Fish Farming - Environmental Impact Information - MFFASA - 051212

MuPSi - a multitouch Petri net simulator for transition steps

Petri nets are very useful for modeling systems with concurrent behavior. There are many editors which support the creation of a Petri net and almost all editors offer the possibility of simulation, i.e. firing of transitions. Due to the limitation to possible user interaction using a conventional user interface having only one focus a concurrent firing of several transitions is not supported. ...

A Petri Net Simulator for Self-organizing Systems

Self-organizing systems have the general property that the primitive elements that comprise the system interact in order to achieve emergent global properties. We describe an extended Petri net simulation architecture for such systems that is based on interacting agents that carry out autonomous actions, yet collaborate with each other in structured ways. There is no central controlling entity....

Petri net markup language: implementation and application

We present a twofolded view to the Petri Net Markup Language (PNML). On the one hand we describe the current state of PNML seen while adopting PNML for an existing tool. The extension allows easy exchange of examples between the PEP tool and other Petri net tools. On the other hand we show how to benefit from the versatility of the Extensible Markup Language (XML). We present a translator from ...