ARTIFICIAL INTELLIGENCE AND ARTIFICIAL NEURAL NETWORK
There are critical differences between the artificial intelligence and artificial neural network. Artificial intelligence is said to be the field that has the goal of making the machines of information. Therefore, the neural network gets considered as a stepping stone of the neural network. Some computers grt designed in a way that can beat champions, but the main goal for general intelligence is too diverse a problem. Many of the knowledge built in the point gets made with its main reason to run a robot. Scientists inevitably create something that does the task, and it ends up creating something that does the job. To get around the problem for the task, the scientists started playing with the artificial neural networks.
The brain gets made of several biological networks that are main for making connections which get based on the stimulus and the perception. Example of the system is when one gets burnt. When the burning happens, there is a connection that understands made in the brain that the sensory information that fire and it relates it to pain. Through the neural network in mind, then many examples can get demonstrated. The artificial neural network also tries to create a system of learning on the computer through the construction of a framework which is simple. The simple framework created can respond to the problem and also gives feedback on how the problem gets solved. The question that gets resolved in a computer can also be optimized, and the computer will solve the issue many times as possible. When there is the submission of a different problem, computer scientists can generate away and teach the computer how to solve such a problem. The testing of the problem in the neural network get expressed mathematically. These can get demonstrated that a computer cannot smell something like a flower, but when it is shown in terms of numbers then the computer catalogue the numbers to the memory along later, it emits its smell. The artificial neural network can hold more inputs, and it has the capacity of learning from the data. Artificial neural networks are designed in a way to make a computer learn. Artificial intelligence is said to be a Holy Grail that scientists of computers try to achieve by the use of techniques. Artificial intelligence is an attribute of several machines that work in the form of knowledge rather than the universal and simple computation that are put by the users. At the same time, the neural network is a machine learning approach that signals of algorithms get used through the interconnection nodes, which are known as the artificial neurons. The early machine includes applications of artificial intelligence that can play games such as chess and checkers and also programs that reproduces and analyses language. In contrast, the artificial neural network is the one that models the human brain.
An artificial neural network is an interconnection of neurons that uses an explicitly computational model to process information. The artificial intelligence means that computers are the same as a human. However, human has not achieved knowledge as machines. The neural network gets primarily based on the brain of the human being. The concept of a computer to think, to process the information and also to give the right outcome here the neural network gets used. Therefore, we can conclude by saying that a neural network is related to artificial intelligence. To give an example is that we can consider Microsoft’s Cortana and Apple’s Siri. The two are artificial intelligence, but how they do there work like how they think, the way the questions it is based in the neural networks. For a computer to get artificial intelligence, it should get done through the help of the neural networks.