The purpose of this study is to learn and master the two kinds of perceptron algorithm: batch sensor algorithm and batch processing margin slack Algorithm. Perceptron algorithm is by learning two kinds of labeled samples, the establishment of a linear classifier. The process of learning is the process of solving the perceptron weights, people through the establishment of a criterion function J (a), the weighting coefficients for solving perceptron problem is reduced to a minimization problem for a scalar function J (a), i.e. when a solution vector, J (a) minimum. The minimization problem commonly used gradient descent method to solve. This paper gives two kinds of perceptron algorithm based on gradient descent method, introduces the principle and program implementation, and finally compares the characteristics of the two algorithms.

Perceptron.m

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．