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.
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Answer:
Answer is Ammonium sulfate.
Explanation:
The method of adding ammonium sulfate to a protein solution is known as precipitation. This is because the addition of ammonium sulfate will reduce or decrease the solubility of the protein. And as the ammonium sulfate is being increased, so also the solubility of the protein will be decreasing.
And at the long run, the protein will be precipitated. This is what is referred to as the 'salting out' procedure.
Answer:
soarce google
Explanation:
Competition for resources like food and space cause the growth rate to stop increasing, so the population levels off. This flat upper line on a growth curve is the carrying capacity. The carrying capacity (K) is the maximum population size that can be supported in a particular area without destroying the habitat.
Answer:
Cost: competition for mates, competition for resources
Benefit: better protection from predators (ex. a fish in a school of fish has greater chances of not getting eaten because of the large number of other fish)
