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This paper describes the MANNCON algorithm, a method of using a traditional controller paradigm to determine the topology and initial weights of a network. The ...
Abstract: The KBANN (Knowledge-Based Artificial Neural Networks) approach uses neural networks to refine knowledge that can be written in the form of simple ...
The KBANN approach uses neural networks to refine knowledge that can be written in the form of simple propositional rules. We extend this idea.
The KBANN (Knowledge-Based Artificial Neural Networks) approach uses neural networks to refine knowledge that can be written in the form of simple ...
The KBANN approach uses neural networks to refine knowledge that can be written in the form of simple propositional rules. We extend this idea further by ...
This work applies the MANNCON algorithm by which the mathematical equations governing a PID controller determine the topology and initial weights of a ...
The KBANN (Knowledge-Based Artificial Neural Networks) approach uses neural networks to refine knowledge that can be written in the form of simple ...
Oct 3, 2018 · I think a neural network could do a much better job finding the optimal PID gain coefficients, and I'm eager to build a NN to accomplish this.
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In this work we will report our initial investigation of how a neural network architecture could become an efficient tool to model Proportional-Integral- ...
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Abstract. The article discusses the task of identifying a neural network controller for the installation of rectification of oil refining production.