Balancing Rotators with Evolved Neurocontrollers
نویسندگان
چکیده
The presented evolutionary algorithm is especially designed to generate recurrent neural networks with non trivial internal dynam ics It is not based on genetic algorithms and sets no constraints on the number of neurons and the architecture of a network Network topol ogy and parameters like synaptic weights and bias terms are developed simultaneously It is well suited for generating neuromodules acting in sensorimotor loops and therefore it can be used for evolution of neuro controllers solving also nonlinear control problems We demonstrate this capability by applying the algorithm successfully to the following task Stabilize a rotating pendulum that is mounted on a cart in an upright position
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F Ur Mathematik in Den Naturwissenschaften Leipzig Balancing Rotators with Evolved Neurocontrollers Balancing Rotators with Evolved Neurocontrollers
The presented evolutionary algorithm is especially designed to generate recurrent neural networks with non-trivial internal dynamics. It is not based on genetic algorithms, and sets no constraints on the number of neu-rons and the architecture of a network. Network topology and parameters like synaptic weights and bias terms are developed simultaneously. It is well suited for generating neuromo...
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