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What Did I Learn About The Genetic Algorithms ( Gas ) And Neural Networks ( Nns )

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What did I learn in this class? It would be truly impossible for me to talk about one thing which I learned in this class, because I had not had any Artificial Intelligence experience or class before, so everything covered in class was a learning experience for me, to include JAVA programming language. Within this paper, I will talk about not only what I learned in class, but also what I found to be interesting and what I will probably use in the future. The topics I feel I learned the most about were Genetic Algorithms (GAs) and Neural Networks (NNs). A GA is a learning model that owes its performance to a metaphor of some of the mechanisms of evolution observed in nature (such as sexual reproduction and the principle of …show more content…

Each gene is located in a certain position (place) within the chromosome it is part of. Many organisms have several chromosomes in each cell. An organism genome is the complete collection of genetic material. What is known as genotype, is the set of genes in a genome content. The genotype shall lead, after fetal development, the phenotype of the organism, that is, their physical and mental characteristics, such as eye color, height, or intelligence.
Most sexually reproducing species that live on earth, store their chromosomes in pairs called diploids otherwise they are called haploids. In the case of humans, each somatic cell of the body contains 23 pairs of chromosomes. During sexual reproduction a crossover or recombination occurs: in each, parent there is a gene exchange between each pair of chromosomes to form a gamete, and then, the gametes of the two parents are paired to form a full diploid chromosome. In the case of the haploid breeding, genes are exchanged between two parents with a single branch of chromosomes. The offspring is subject to mutations, where a change occurs in any nucleotide (bits of DNA) from father to son; these modifications are usually the result of "copy errors". Organism capacity is defined as the probability that the living organism will live to reproduce (viability) or as a function of the organism offspring number (fertility).
Let 's transfer these Concepts onto "artificial

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