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AppART: A hybrid neural network based on Adaptive Resonance Theory for universal function approximation

机译：AppART：基于自适应共振理论的混合神经网络，用于通用函数逼近

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Luis Martí; Alberto Policriti; Luciano García;
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年度 2007
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1. Universal approximations of continuous fuzzy-valued functions by multi-layer regular fuzzy neural networks [J] . Puyin Liu Fuzzy sets and systems . 2001,第2期

机译：多层规则模糊神经网络对连续模糊值函数的通用逼近
2. A theory of cerebellar cortex and adaptive motor control based on two types of universal function approximation capability [J] . Fujita Masahiko Neural Networks: The Official Journal of the International Neural Network Society . 2016,第Null期

机译：基于两种通用函数逼近能力的小脑皮层理论和自适应运动控制
3. A theory of cerebellar cortex and adaptive motor control based on two types of universal function approximation capability [J] . Fujita Masahiko Neural Networks: The Official Journal of the International Neural Network Society . 2016,第Null期

机译：基于两种通用函数近似能力的小脑皮质和自适应电动机控制理论
4. AppART: An ART Hybrid Stable Learning Neural Network for Universal Function Approximation [C] . Luis Marti, Alberto Policriti, Luciano Garcia International Workshop on Hybrid Intelligent Systems . 2002

机译：Appart：通用函数近似的艺术稳定学习神经网络
5. Evaluation of liquefaction potential using adaptive resonance theory based neural networks. [D] . Garg, Amit. 2005

机译：使用基于自适应共振理论的神经网络评估液化潜力。
6. Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms [O] . Carlos Robles-Algarín, Diego Restrepo-Leal, Adalberto Ospino Castro 2019

机译：来自基于光伏模块阵列的多峰函数的数据以及人工神经网络的近似值作为测试优化算法的场景
7. AppART: A ART hybrid stable learning neural network for universal function approximation [O] . Luis Martí, Alberto Policriti, Luciano García 2001

机译：AppART：用于通用函数逼近的ART混合稳定学习神经网络

AppART: A hybrid neural network based on Adaptive Resonance Theory for universal function approximation

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