Artificial neural networks: fundamentals, computing, design, and application

Citation edge evidence

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• Artificial neural networks: fundamentals, computing, design, and application→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Neural networks for pattern recognitionLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Neural networks: A comprehensive foundationLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Introduction to the theory of neural computationLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Artificial neural networks: a tutorialLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→A general regression neural networkLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Universal approximation bounds for superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→30 years of adaptive neural networks: perceptron, Madaline, and backpropagationLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Computing with Neural Circuits: A ModelLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Fundamentals of Artificial Neural NetworksLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Practical neural network recipes in CLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→ART 2: self-organization of stable category recognition codes for analog input patternsLegacy edge — source detail unavailable
• Artificial neural networks: a tutorial→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• Artificial neural networks: a tutorial→Neural networks: A comprehensive foundationLegacy edge — source detail unavailable
• Artificial neural networks: a tutorial→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Artificial neural networks: a tutorial→Introduction to the theory of neural computationLegacy edge — source detail unavailable
• An introduction to computing with neural nets→Computing with Neural Circuits: A ModelLegacy edge — source detail unavailable
• An introduction to computing with neural nets→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→An introduction to computing with neural netsLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→ART 2: self-organization of stable category recognition codes for analog input patternsLegacy edge — source detail unavailable
• Fundamentals of Artificial Neural Networks→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
• Fundamentals of Artificial Neural Networks→Introduction to the theory of neural computationLegacy edge — source detail unavailable
• Fundamentals of Artificial Neural Networks→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable