pattern-generation algorithm
1Maze generation algorithm — Maze generation algorithms are automated methods for the creation of mazes. This maze generated by modified version of Prim s algorithm, below. Contents 1 Graph theory based methods …
2Automatic test pattern generation — ATPG (acronym for both Automatic Test Pattern Generation and Automatic Test Pattern Generator) is an electronic design automation method/technology used to find an input (or test) sequence that, when applied to a digital circuit, enables testers… …
3Memetic algorithm — Memetic algorithms (MA) represent one of the recent growing areas of research in evolutionary computation. The term MA is now widely used as a synergy of evolutionary or any population based approach with separate individual learning or local… …
4Random number generation — A random number generator (often abbreviated as RNG) is a computational or physical device designed to generate a sequence of numbers or symbols that lack any pattern, i.e. appear random. Computer based systems for random number generation are… …
5Genetic algorithm — A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of… …
6GSP Algorithm — ( Generalized Sequential Pattern algorithm) is an algorithm used for sequence mining. The algorithms for solving sequence mining problems are mostly based on the a priori (level wise) algorithm. One way to use the level wise paradigm is to first… …
7Apriori algorithm — In computer science and data mining, Apriori is a classic algorithm for learning association rules. Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a… …
8Human-based genetic algorithm — In evolutionary computation, a human based genetic algorithm (HBGA) is a genetic algorithm that allows humans to contribute innovative solutions to the evolutionary process. For this purpose, an HBGA has human interfaces for initialization,… …
9Cellular neural network — Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces,… …
10Models of neural computation — are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing in biological nervous systems, or functional components thereof. This article aims to provide an overview of the most… …
