Description: Bp algorithms applied to the iris database, the classification, iris database is widely used for pattern classification of the instances of the system. It contains 150 examples, divided into three categories, each class consists of four real eigenvalue description, respectively sepals (sepal) length, sepal width, petal (petal) length, petal width. The problem is classified according to the value of these four characteristics of three kinds of iris plants, enter the four characteristic values and categories (5.1 3.5 1.4 0.2 0), the output algorithm classification results
- [bp_matlab_pattern] - is my pattern recognition operations, th
- [BPclassification] - BP learning algorithm applications- the
- [BP] - matlab development of BP neural network
- [IRIS] - Based on BP neural network, in accordanc
- [knn] - Written in C language using the nearest
- [Bayes-Iris] - According to the design of a simple Baye
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bp-assort.cpp
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