Answer:
Frankenstein is a Gothic novel by the English writer Mary Shelley, first published anonymously in 1818. The book tells the life of the scientist Victor Frankenstein, who through his research managed to understand the mystery of the origin of life and learn to revive lifeless matter, creating an artificial person from corpse parts. Later, horrified by the being he had created, he renounces his creation, abandoning him to his fate. The monster, hated by people for his corpse appearance, begins to pursue his creator, first asking him to help him and later with aims of revenge. Frankenstein combines elements of Gothic novels, romantic literature in general, and science fiction; In addition, books such as Paradise Lost or the Legend of Prometheus also served as inspiration for the author.
Stage 1- Stars are born in a region of high density Nebula, and condenses into a huge globule of gas and dust and contracts under its own gravity.
This image shows the Orion Nebula or M42 .
Stage 2 - A region of condensing matter will begin to heat up and start to glow forming Protostars. If a protostar contains enough matter the central temperature reaches 15 million degrees centigrade.
This image is the outflow (coloured red)and protostar.
Stage 3 - At this temperature, nuclear reactions in which hydrogen fuses to form helium can start.
Stage 4 - The star begins to release energy, stopping it from contracting even more and causes it to shine. It is now a Main Sequence Star.
The nearest main sequence star to Earth, the Sun
Stage 5 - A star of one solar mass remains in main sequence for about 10 billion years, until all of the hydrogen has fused to form helium.
stage 6 - The helium core now starts to contract further and reactions begin to occur in a shell around the core.
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Answer:The ways in which they function
Explanation:
Another fundamental difference between traditional computers and artificial neural networks is the way in which they function. While computers function logically with a set of rules and calculations, artificial neural networks can function via images, pictures, and concepts.
