Ivan N. da Silva

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The paper describes a novel neural model to estimate electrical loss in transformer according to the energy consumption (load curve). The network acts as identifier of structural features on electrical loss process, so that output parameters can be estimated and generalized from an input parameter set. The model was trained and assessed through experimental(More)
Artificial neural networks are richly connected networks of simple computational elements modeled on biological processes. Systems based on artificial neural networks have high computational rates due to the use of a massive number of these computational elements. Neural networks with feedback connections provide a computing model capable of solving a rich(More)
An approach based on neural networks to the navigation control of mobile robots is presented in this paper. The problem of driving a mobile robot to a goal in an unknown environment is formulated as a neural control problem in which local information are used to make steering and velocity decisions while the robot is moving. The artificial neural network(More)
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