Sensitivity Analysis for Neural Networks

Sensitivity analysis for neural networks

📁 Sensitivity analysis for neural networks

✍ Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analy

📁 Sensitivity Analysis for Neural Networks

✍ Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analy

Sensitivity Analysis for Neural Networks

📁 Sensitivity Analysis for Neural Networks

✍ Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analy

Sensitivity analysis for neural networks

📁 Sensitivity analysis for neural networks

✍ Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analy

Analysis of Neural Networks

📁 Analysis of Neural Networks

✍ Uwe an der Heiden (auth.) 📂 Library 📅 1980 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The purpose of this work is a unified and general treatment of activity in neural networks from a mathematical pOint of view. Possible applications of the theory presented are indica ted throughout the text. However, they are not explored in de tail for two reasons : first, the universal charac

Neural network models: an analysis

📁 Neural network models: an analysis

✍ Philippe De Wilde 📂 Library 📅 1995 🏛 Springer 🌐 English

Providing an in-depth treatment of the main topics in neural networks this volume concentrates on multilayer networks and completely connected networks, as well as discussing both analog and digital networks. The central themes are dynamical behaviour, attractors and capacity. Boltzmann machines are

Sensitivity Analysis for Neural Networks

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