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Multi Layer Perceptron Neural Network (Back Propag
4.0
A multilayer perceptron is a feedforward artificial neural network
model that maps sets of input data onto a set of appropriate outputs. A
MLP consists of multiple layers of nodes in a directed graph, with each
layer fully connected to the next one.
Here is a fully commented, plain and obvious code for a Multi Layer Perceptron Neural Network to Classify input data (Using two Train and Test Data Sets) into two or more groups or to estimate the desired output using the training data(regression).
This Network uses the back propagate algorithm to update its weights and biases.
in this code, the ModId.mat variable is the data set with train and test data sets and can be altered with any other feature data sets.
nemesis2 0 0
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Genetic Optimization Algorithm
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In the computer science field of artificial intelligence, genetic
algorithm is a search heuristic that mimics the process of natural
selection. This heuristic is routinely used to generate useful solutions
to optimization and search problems.
In this file, I've provided a fully commented, plain and obvious code to find the optimized value for any function in order to maximize, Minimize or Minimize it's absolute value (finding root of the function). The function and the optimization range are inputs and user can enter any desired function as input. The Genetic Algorithm presented here is not only effective but also is very illustrative to figure out how this algorithm works using explanatory comments and its plain structure.
nemesis2 2 0
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