Capabilities of computer algorithm like human brain utilizing artificial neural networks: a task

Abstract

Input and output appear to be how computer algorithms work. We take input and apply each step of the algorithms to it in order to get an output. The input leads to progress and questions that must be addressed in a timely manner. The output is the created result when each stage of the flowchart has been completed.The Central Processing Unit (CPU) is the computer's brain. A CPU accepts data, executes instructions, and interprets information, and we can conceive of it as a decision-maker similar to the human brain. The context of real-world situations is interpreted in a way that computers cannot. Neural Networks are being developed to address the problem. They are a series of algorithms that have been designed to recognize patterns and are modeled after the human brain. They use machine perception, tagging, and raw data creation to interpret sensory neurons.  ANN is the answer to making communications more human-like and allowing ANN to reason like humans. It was inspired by the evolution of the brain. A computer architecture in which many processors connect neurons in a human brain, allowing it to learn by processing one item in another until it succeeds. The brain's interconnected cells act similarly to computer-programmed Artificial Neural Networks.