Titlebook: Engineering Applications of Neural Networks; 19th International C Elias Pimenidis,Chrisina Jayne Conference proceedings 2018 Springer Natur

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https://doi.org/10.1007/978-3-030-49176-5ted living are becoming increasingly apparent. However, challenges in performing real-time human activity recognition (HAR) from unlabelled data and adapting to changing user health remain a major barrier to the practicality of such applications. This paper aims to address these issues by proposing

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Christian Kahl,Gerald Raj Sundramever, in order to guarantee the convergence of the ELM algorithm, it initially requires a large number of hidden nodes. In addition, extreme learning machines have two drawbacks: over-fitting and the sensitivity of accuracy to the number of hidden nodes. The aim of this paper is to propose a new smo

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William J. Hueston,A. Kesh Hebbaroach to incorporate active user control of different characters. In this paper, a neuroevolutionary approach is proposed using HyperNEAT to combine individually trained neural controllers to form a control strategy for a simulated eight-legged character, which is a previously untested character morp