Identification and control of dynamical systems using neural networks

Citation edge evidence

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• Deep learning in neural networks: An overview→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• ANFIS: adaptive-network-based fuzzy inference system→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• A general regression neural network→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• State-of-the-art in artificial neural network applications: A survey→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• Broad Learning System: An Effective and Efficient Incremental Learning System Without the…→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• Nonlinear black-box modeling in system identification: a unified overview→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• Stable adaptive fuzzy control of nonlinear systems→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• Forward Models: Supervised Learning with a Distal Teacher→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
• Identification and control of dynamical systems using neural networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Identification and control of dynamical systems using neural networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Identification and control of dynamical systems using neural networks→“Neural” computation of decisions in optimization problemsLegacy edge — source detail unavailable
• Identification and control of dynamical systems using neural networks→Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a l…Legacy edge — source detail unavailable
• Identification and control of dynamical systems using neural networks→Bidirectional associative memoriesLegacy edge — source detail unavailable
• Identification and control of dynamical systems using neural networks→Parallel Networks that Learn to Pronounce English TextLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→Forward Models: Supervised Learning with a Distal TeacherLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→30 years of adaptive neural networks: perceptron, Madaline, and backpropagationLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Bidirectional associative memories→“Neural” computation of decisions in optimization problemsLegacy edge — source detail unavailable
• Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a l…→“Neural” computation of decisions in optimization problemsLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Parallel Networks that Learn to Pronounce English TextLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→“Neural” computation of decisions in optimization problemsLegacy edge — source detail unavailable
• Multilayer feedforward networks are universal approximators→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable