chpt10examp
... shows the calculated steady-state solution. In Figure 10.2a only every other velocity vector has been plotted. In Figure 10.2b the isotherms are shown at intervals T = 0.1. We observe a boundary layer flow with two recirculation cells. These were first observed experimentally by Elder (1965) who ca ...
... shows the calculated steady-state solution. In Figure 10.2a only every other velocity vector has been plotted. In Figure 10.2b the isotherms are shown at intervals T = 0.1. We observe a boundary layer flow with two recirculation cells. These were first observed experimentally by Elder (1965) who ca ...
Genetic algorithms approach to feature discretization in artificial
... a complex space in an adaptive way, guided by the biological evolution mechanisms of reproduction, crossover, and mutation (Adeli & Hung, 1995). The following describes the basic steps of GA. The first step is problem representation. The problems must be represented as a suitable form to be handled ...
... a complex space in an adaptive way, guided by the biological evolution mechanisms of reproduction, crossover, and mutation (Adeli & Hung, 1995). The following describes the basic steps of GA. The first step is problem representation. The problems must be represented as a suitable form to be handled ...
ENGL 301 Definitions rewritten
... long a duration and control other various ‘behavioral characteristics’ of the machine. A “trading algorithm”, according to Investopedia, is a “… [computer-program that] …follow[s] a defined set of instructions for placing a trade in order to generate profits at a speed and frequency that is impossib ...
... long a duration and control other various ‘behavioral characteristics’ of the machine. A “trading algorithm”, according to Investopedia, is a “… [computer-program that] …follow[s] a defined set of instructions for placing a trade in order to generate profits at a speed and frequency that is impossib ...
PDF only - at www.arxiv.org.
... In this comparison we studied the impact of number of generations on the training of an individual. As it is obvious from fig.5, for most of the individuals fitness value reaches to its maximum by 15 – 20 generations. Fitness improves as number of generations increases but after reaching a specific ...
... In this comparison we studied the impact of number of generations on the training of an individual. As it is obvious from fig.5, for most of the individuals fitness value reaches to its maximum by 15 – 20 generations. Fitness improves as number of generations increases but after reaching a specific ...
Introduction to AI
... ▪ Focus is not just on behavior and I/O, but looks at reasoning process. ▪ Computational model as to how results were obtained. ▪ Goal is not just to produce human-like behavior but to produce a sequence of steps of the reasoning process, similar to the steps followed by a human in solving the same ...
... ▪ Focus is not just on behavior and I/O, but looks at reasoning process. ▪ Computational model as to how results were obtained. ▪ Goal is not just to produce human-like behavior but to produce a sequence of steps of the reasoning process, similar to the steps followed by a human in solving the same ...
Genetic algorithm
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.