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7 papers · 1 filter
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss
Hui Yang, Abeer Alsadoon, P. W. C. Prasad +4
Accurate emotion classification for online reviews is vital for business organizations to gain deeper insights into markets. Although deep learning has been successfully implemente…
An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants
Tarik A. Rashid, Chra I. Shekho Toghramchi, Heja Sindi +5
One popular example of metaheuristic algorithms from the swarm intelligence family is the Bat algorithm (BA). The algorithm was first presented in 2010 by Yang and quickly demonstr…
A neuromorphic hardware framework based on population coding
Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang +2
In the biological nervous system, large neuronal populations work collaboratively to encode sensory stimuli. These neuronal populations are characterised by a diverse distribution…
FPGA Implementation of the CAR Model of the Cochlea
Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson +2
The front end of the human auditory system, the cochlea, converts sound signals from the outside world into neural impulses transmitted along the auditory pathway for further proce…
Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels
Saeed Afshar, Libin George, Jonathan Tapson +2
This paper describes the Synapto-dendritic Kernel Adapting Neuron (SKAN), a simple spiking neuron model that performs statistical inference and unsupervised learning of spatiotempo…
Learning ELM network weights using linear discriminant analysis
Philip de Chazal, Jonathan Tapson, André van Schaik
We present an alternative to the pseudo-inverse method for determining the hidden to output weight values for Extreme Learning Machines performing classification tasks. The method…