Neural Network Performance for Complex Minimization Problem | Zendy

Tadeusz Wibig | Zendy

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Neural Network Performance for Complex Minimization Problem

Author(s) -

Tadeusz Wibig

Publication year - 2010

Publication title -

communications and network

Language(s) - English

Resource type - Journals

eISSN - 1949-2421

pISSN - 1947-3826

DOI - 10.4236/cn.2010.21004

Subject(s) - artificial neural network , computer science , minification , energy minimization , work (physics) , phenomenon , artificial intelligence , energy (signal processing) , machine learning , epistemology , statistics , mathematics , mechanical engineering , philosophy , chemistry , computational chemistry , engineering , programming language

We have analyzed the important problem of contemporary high-energy physics concerning the estimation of some parameters of the observed complex phenomenon. The standard statistical method of the data analysis and minimization was confronted with the Neural Network approaches. For the Natural Neural Networks we have used brains of high school students involved in our Roland Maze Project. The excitement of active participation in real scientific work produced their astonishing performance what is described in the present work. Some preliminary results are given and discussed

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