From: aminer68@gmail.com   
      
   Hello,   
      
      
      
   More of my philosophy about artificial intelligence and about non-linear   
   regression..   
      
   I am a white arab from Morocco, and i think i am smart since i have also   
   invented many scalable algorithms and algorithms..   
      
      
   I think i am really smart, and i will talk to you more about my interesting   
   software project for mathematics, so my new software project    
   uses artificial intelligence to implement a generalized way with artificial   
   intelligence using the software that permit to solve the non-linear "multiple"   
   regression, and it is much more powerful than  Levenberg–Marquardt algorithm   
   , since i am    
   implementing a smart    
   algorithm using artificial intelligence that permits to avoid premature    
   convergence, and it is also one of the most important thing, and also    
   it will be much more scalable using multicores so that to search with    
   artificial intelligence much faster the global optimum, so i am    
   doing it this way to be really professional and i will give you a tutorial   
   that explains my algorithms that uses artificial intelligence so that you   
   learn from them.    
      
   And read my previous thoughts:   
      
   More of my philosophy about non-linear regression and more..   
      
   I think i am really smart, and i have just finished quickly the software   
   implementation of Levenberg–Marquardt algorithm and of the simplex algorithm   
   to solve non-linear least squares problems, but i have also   
   just implemented the PSO and genetic algorithm that permit to solve non-linear   
   least squares problems, and i will soon implement a generalized way with   
   artificial intelligence using the software that permit to solve the non-linear   
   "multiple" regression,    
   but i have also noticed that in mathematics you have to take care of the   
   variability of the y in non-linear least squares problems so that to   
   approximate, also the Levenberg–Marquardt algorithm (LMA or just LM) that i   
   have just implemented , also known    
   as the damped least-squares (DLS) method, is used to solve non-linear least   
   squares problems. These minimization problems arise especially in least   
   squares curve fitting. The Levenberg–Marquardt algorithm is used in many   
   software applications for    
   solving generic curve-fitting problems. The Levenberg–Marquardt algorithm   
   was found to be an efficient, fast and robust method which also has a good   
   global convergence property. For these reasons, It has been incorporated into   
   many good commercial    
   packages performing non-linear regression. But my way of implementing the   
   non-linear "multiple" regression in the software will be much more powerful   
   than Levenberg–Marquardt algorithm, and of course i will share with you many   
   parts of my software    
   project,   
   so stay tuned !   
      
      
   Thank you,   
   Amine Moulay Ramdane.   
      
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