MLP artificial neural network

develop an algorithm to evolve a MLP (Multi-Layer Perceptron) artificial neural network using a Genetic Algorithm (GA) to minimise a set of continuous functions where no prior knowledge about the functions is available to the algorithm.

By means of the COCO blackbox you will be able to have a concrete measurement of

the level of success over a set of 24 noiseless continuous functions.

From: [url removed, login to view]

Post processing of data is optional depending on time remaining.

Required ASAP.

Habilidades: Inteligência Artificial, Engenharia Genética, Matlab and Mathematica, Python, Desenvolvimento de Software

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Acerca do Empregador:
( 2 comentários ) Glasgow, United Kingdom

ID do Projeto: #12072046

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Hello, You can see my last project which are based on Machine Learning and I can complete your project perfectly. We have 9+ years experience in Java software development. We have successfully developed 400+ proj Mais

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Hello, I am a Research scholar at Robotics Research Centre in International Institute of Information Technology, Hyderabad and my primary area of research has been Vision robotics, NLP, combining both computer vi Mais

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Hi! I'm Alireza and I'm a graduated in Automation & Control Eng. at Politecnico di Milano and for some years I've been working and researching in different fields involving Matlab and programming. I'm expert in Matlab Mais

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