Design Automation and Implementation of Machine Learning Classifier Chips

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Digital Design Automation Finite State Machine Design

Fixture Design Automation and Optimization Techniques: Review and Future Trends

Fixture design is crucial part of manufacturing process. Fixture design is a critical design activity process, in which automation plays an integral role in linking computer-aided design (CAD) and computer-aided manufacturing (CAD). This paper presents a literature review in computer aided fixture design (CAFD) in terms of automation and optimization techniques over the past decades. First, the...

Ensemble Methods – Classifier Combination in Machine Learning

The last ten years have seen a research explosion in machine learning. The rapid growing is largely driven by the following two forces. First, separate research communities in symbolic machine learning, computational learning theory, neural network, statistics and pattern recognition have discovered one another and begun to work together. Second, machine learning technologies are being applied ...

On the kernel Extreme Learning Machine classifier

In this paper, we discuss the connection of the kernel versions of the ELM classifier with infinite Single-hidden Layer Feedforward Neural networks and show that the original ELM kernel definition can be adopted for the calculation of the ELM kernel matrix for two of the most common activation functions, i.e., the RBF and the sigmoid functions. In addition, we show that a low-rank decomposition...