On Correlation Function of Randomly Sampled M-Sequence

The Eeects of Randomly Sampled Training Data on Program Evolution the Eeects of Randomly Sampled Training Data on Program Evolution

The eeects of randomly sampled training data during genetic programming is empirically investigated. Sometimes the most natural , if not only, means of characterizing the target behaviour for some problems is to randomly sample training cases inherent to the problems in question. A natural question to raise about this strategy is, how delete-rious is the randomly sampling of training data to ev...

The Effects of Randomly Sampled Training Data on Program Evolution

The e ects of randomly sampled training data on genetic programming performance is empirically investigated. Often the most natural, if not only, means of characterizing the target behaviour for a problem is to randomly sample training cases inherent to that problem. A natural question to raise about this strategy is, how deleterious is the randomly sampling of training data to evolution perfor...

The E ects of Randomly Sampled Training Data on

The eeects of randomly sampled training data on genetic programming performance is empirically investigated. Often the most natural, if not only, means of characterizing the target behaviour for a problem is to randomly sample training cases inherent to that problem. A natural question to raise about this strategy is, how deleterious is the randomly sampling of training data to evolution perfor...

Control of Randomly Sampled Robotic Systems

This paper studies control problems of sampled data systems which are subject to random sample rate variations and delays. Due to the rapid growth of the use of computers more and more systems are controlled digitally. Complex systems such as space telerobotic systems require the integration of a number of sub-systems at different hierarchical levels. While many sub-systems may run on a single ...

Spectral Analysis of Randomly Sampled Signals