Neural Network Genetic Algorithm/Programming
Design a and program neural network which is optimised with genetic algorithm / genetic programming (written in C++ or python language). The weights of the neural network are to be determined by the genetic algorithm .genetic programming rather than the traditional method of trial and error. The aim here is to improve the time it takes to determine the appropriate weights for learning a particular task. The task itself is not important. For example, for the task of image recognition, e.g. recognising images of cars, the genetic algorithm/programming should take a shorter time determining the appropriate weights /Inputs into the network.
Also, the structure of the neural network should also be determined using the same method (GA/GP). That is, the number of layers and number of nodes within the network. Please provide references when citing other works for comparison, clarification etc.
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I'm a computer science professional with a PhD degree and extensive experience in Artificial Neural Networks and GA. I use several programming languages including C++ and Python. I've done many projects in ANN and GA, please see reviews on my profile. It would be my pleasure to work on your project. Please let me know the details.
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So let's talk about your project. Open chat to discuss it further. Thanks
Coming from Natural Language Processing field, I'm an expert on Artificial Intelligence. During my masters's degree thesis I developed a machine learning model for Entity Recognition (Disambiguation and Pruning) in Groovy.
The software committed would be written in python using open source libraries.