This study provides a general introduction to the principles, algorithms and practice of Computational Intelligence (CI) and elaborates on their use to signal processing and time series.
Due to the space limitation, this paper will concentrate on the research results, while the detailed principles, algorithms and development process of the techniques can be found in the references.
The complexity and ramifications of the fast-growing number of mobile users and the variety of services intensify the interest in developing principles, algorithms, design methodologies, and systematic evaluation frameworks for the next-generation wireless networks.
In this paper the principles, algorithms and techniques of single-ended, transient-based and ultra-high-speed protection for EHV transmission lines, buses, DC transmission lines and faulty line selection for non-solid earthed networks are presented.
The primary aim of this systematic review is to collate and report on the principles, algorithms and accuracy of autonomous physiological close-loop controlled oxygen devices as well to present recommendations for future research and studies in this area.
This paper provides the equivalent circuit of the lubrication structure in the bearing and the operational principle, algorithm, and circuit implementation of the non-contact measurement.
Biorthogonal interpolating wavelets have been applied to electromagnetic field modeling through the wavelet collocation method in time domain, yielding a versatile first-principle algorithm for the solution of time dependent Maxwell's equations with inhomogeneous media.
Most decision tree-based learning algorithms are based on a principle algorithm that performs a top-down, recursive greedy search for the best decision tree.
Figure 1 presents a pseudocode of the principle algorithm, which builds a decision tree in a recursive fashion, and returns its root at last. Figure 2 shows an example of decision trees learned by the decision tree learning algorithm.
Considering the implementation principle, algorithms for aircraft recognition can be briefly summarized in three categories.
A first-principles algorithm was used to model laboratory measurements.
