About Perceptron personal and BP neural network interpretation

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EDITORIAL

Learning about artificial intelligence today can be divided into three schools:
Ⅰ. Symbols School : Principal to obtain the final result through logical reasoning, it is necessary to optimize the algorithm by specifying a variety of rules and judgments, make the most factual answers.
Ⅱ. Connections school : the most representative is now more popular principles on the use of neural networks and machine perception, depth learning.
. Ⅲ behavioral school : evolutionary algorithms, genetic algorithms, swarm optimization algorithm compares the main representative.
Three kinds of schools each have their own advantages and unresolved issues still need to continue to explore.

Deep learning is a branch of machine learning.

Perceptron

First, the single-layer Perceptron

Modeled by using the machine to process data network human brain.

Pictured on artificial neural
simulation corresponding to the table:

Xi (X1, X2, ... Xn): represent input from other neurological hospital of
Wi (W1, W2, ... Wn ): indicates that the corresponding network connection weights (share)

To be perfect.