Category of AI that attempts to emulate the way the human brain works neural network.
A neural network is a biological neural network made up of biological neurons or an artificial neural network used to solve artificial intelligence (AI) problems.
Artificial neural networks model biological neuron connections as weights between nodes. An excitatory link is represented by a positive weight, whereas an inhibitory connection is represented by a negative weight. Each input is given a weight before being added together.
These artificial networks can be applied to adaptive control, predictive modelling, and other tasks where a dataset can be utilised to train them.
To learn more about artificial intelligence, refer this link brainly.com/question/28448080
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Answer:
passed on, inherited, passed on to offspring, most adapted to the environment or have the best adaptive traits or higher genetic fitness
Explanation:
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➷ 1) Respiration
Protein synthesis
2) Cytoplasm
3) A dominant trait only requires one allele for it to produce a dominant phenotype. However, a recessive trait requires two alleles (one from each parent) to produce a recessive phenotype.
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