This paper is to provide practical options for prognostics so that beginners can select
appropriate methods for their fields of application. To achieve this goal, several popular …

The single-layer perceptron, introduced by Rosenblatt in 1958, is one of the earliest and
simplest neural network models. However, it is incapable of classifying linearly inseparable …

Planar two and three-link manipulators are often used in Robotics as testbeds for various
algorithms or theories. In this paper, the case of a three-link planar manipulator is …

Real-time control of wave energy converters requires knowledge of future incident wave
elevation in order to approach optimal efficiency of wave energy extraction. We present an …

Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system. Neural networks are a model-free …

This paper aims to highlight the practical viability of a new and novel hybrid control
technique applied to a vehicle active suspension system of a quarter car model using …

This study aims at 'predicting'the occurrence of lane-change related freeway crashes using
the traffic surveillance data collected from a pair of dual loop detectors. The approach …

Accurate incidence forecasting of infectious disease is critical for early prevention and for
better government strategic planning. In this paper, we present a comprehensive study of …

Micro scale machining process monitoring is one of the key issues in highly precision
manufacturing. Monitoring of machining operation not only reduces the need of expert …

WO2016145379A1 - Automated Compilation of Probabilistic Task Description into Executable
Neural Network Specification - Google Patents WO2016145379A1 - Automated Compilation of …