Question

Neural nets and genetic algorithms are ways of developing computer software using concepts from biology. Describe these concepts. Select one field in biological science or biotechnology and examine the impact that these techniques might have on the chosen field. What sort of benefits (or problems) might the application of these techniques in this area bring?

Answer 1

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Outline of the Algorithm:

1. The algorithm begins by creating a random initial population.

2. The algorithm then creates a sequence of new populations. At each step, the algorithm uses the individuals in the current generation to create the next population.

3. The algorithm stops when one of the stopping criteria is met.

NUERAL NETWORK : The basic idea behind a neural network is to simulate lots of densely interconnected brain cells inside a computer so you can get it to learn things, recognize patterns, and make decisions in a humanlike way.

Drug discovery :

• Drug discovery is by far one of the best advances in the use of artificial intelligence in biotechnology. There are a lot of processes involved in drug discovery, and they include screening, peptides, and several other substances for the therapeutic values.

• Disadvantages : More than one computer software running the nueral network using genetic algorithm can clash with each other therby manipulating processs of drug discovery

Advantages: Human errrors during drug discovery can • be nullified.

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