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What is the neural network algorithm?
Neural network is a fashionable word in the field of new technology. Many people have heard the word, but few people really understand what it is. The purpose of this paper is to introduce all the basic functions of the neural network including its function, general structure, relevant terminology, types and applications.
The term "neural network" is actually derived from biology, and the proper name of the neural network we refer to IS "Artificial neural network (ANNs)".
A real neural network consists of several to billions of cells called neurons (tiny cells that make up our brain) that are connected in different ways to form networks. Artificial neural networks are trying to simulate this biological architecture and its operations. Here's a conundrum: we don't know much about biological neural networks! Therefore, the neural network architecture between different types is very different, we know only the basic structure of neurons.
Neural algorithms in Search engines:
The search engine algorithm than pedagogical people's brains, the brain has about 50 to 500 different neurons, from the n many factors constitute a neural network system, that is, the search engine algorithm composition. Elegant style Yyan thought in the search engine neural network system, by the N multiple keyword correlation website/page composes a search engine nerve algorithm, each neuron occupies the nerve network system the proportion is different. Of course, some search engines have recently joined the user behavior algorithm, and the user behavior algorithm will be included in the neural algorithm.
The principle of the neural algorithm:
The basic neurons contain synapses, Soma, axon and dendrites. Synapses is responsible for the connections between neurons, which are not physically connected, but have a small gap between them that allows the electrons to jump from one neuron to another. These electronic signals are then handed over to the Soma for processing and transmitted to axon with their internal electronic signals. and axon will distribute these signals to dendrites. Finally, Dendrites takes these signals and gives them to the other synapses to continue the next cycle. Continuously from each neuron mining data, composed of various classifications and coding, from each classification into the code to form a number of search engine neural algorithm, some of the general components, and finally the analysis results into a nerve fingerprint, when the user will call the search engine's nerve fingerprint, by the nerve to show the search results.