Preferred design of recurrent neural network architecture using a multiobjective evolutionary algorithm with un-supervised information recruitment: a paradigm for modeling shape memory alloy actuators (Q2510324)
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| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Preferred design of recurrent neural network architecture using a multiobjective evolutionary algorithm with un-supervised information recruitment: a paradigm for modeling shape memory alloy actuators |
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Preferred design of recurrent neural network architecture using a multiobjective evolutionary algorithm with un-supervised information recruitment: a paradigm for modeling shape memory alloy actuators (English)
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1 August 2014
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shape memory alloy (SMA)
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self-organizing Pareto based evolutionary algorithm (SOPEA)
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simultaneous recurrent neural network (SRNN)
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preference-based optimization
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