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The derivation of first- and second-order backpropagation methods for fully-connected and convolutional neural networks

We introduce rigorous theory for deriving first and second order backpropagation methods for Deep Neural Networks (DNN) whilst satisfying existing theory in DNN optimization. We begin by formally defining a neural network with its respective components and state the first and second order chain rule with respect to its partial derivatives. The partial derivatives in the chain rule formula are rela

Eight Brides for Twenty-Four Brothers

Eight Brides for Twenty-Four Brothers Four Brides for Twelve Brothers: How to Dutch Book a Group of Individually Rational Players 1 Luc Bovens London School of Economics and Political Science Dept. of Philosophy, Logic and Scientific Method L.Bovens@LSE.ac.uk You can’t be wise and in love at the same time. (Bob Dylan) Abstract. Wlodek Rabinowicz suggested in an e-mail conversation (2001) to me tha

https://www.fil.lu.se/hommageawlodek/site/papper/BovensLuc.pdf - 2026-06-16

Vehicle driving cycle simulation of a pneumatic hybrid bus based on experimental engine measurements

In the study presented in this paper, a vehicle driving cycle simulation of the pneumatic hybrid has been conducted. The pneumatic hybrid powertrain has been modeled in GT-Power and validated against experimental data. The GT-Power engine model has been linked with a MATLAB/simulink vehicle model. The engine in question is a single-cylinder Scania D12 diesel engine, which has been converted to wor