Function approximation with hyperplan-based self-organising maps

نویسندگان

  • W. Jacquet
  • Hubert Kihl
  • Julien Gresser
  • S. Breton
چکیده

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Parallelized Growing-Pruning Hyperplan-Based Self-Organising Maps for Function Approximation

This article presents an optimised and parallelized variant of the network of self-organised hyperplans HYPSOM [1], meant for the approximation of multivariable functions. This network initially equipped with a fixed structure, has been the subject of several studies whose aim was to give a growing structure[2]. This study allowed the validation of a learning algorithm, based on the addition an...

متن کامل

Growing-Pruning Hyperplan-Based Self-Organising Maps for Function Approximation

This article presents an optimised and parallelised variant of the network of selforganised hyperplans HYPSOM [1], meant for the approximation of multivariable functions. This network intially equipped with a fixed structure, has been the subject of several studies whose aim was to give a growing structure [2]. This study allowed the validation of a learning algorithm, based on the addition and...

متن کامل

On the equivalence between kernel self-organising maps and self-organising mixture density networks

The kernel method has become a useful trick and has been widely applied to various learning models to extend their nonlinear approximation and classification capabilities. Such extensions have also recently occurred to the Self-Organising Map (SOM). In this paper, two recently proposed kernel SOMs are reviewed, together with their link to an energy function. The Self-Organising Mixture Network ...

متن کامل

Approximation with neural networks : Between local and global

We investigate neural network based approximation methods. These methods depend on the locality of the basis functions. After discussing local and global basis functions, we propose a a multi-resolution hierarchical method. The various resolutions are stored at various levels in a tree. At the root of the tree, a global approximation is kept; the leafs store the learning samples themselves. Int...

متن کامل

Drift counteraction with multiple self-organising maps for an electronic nose

In this paper, a new mSom neural network methodology has been developed and applied to improve the classification of odour classes sensed by a multisensor system as an electronic nose subjected to drift. The mSom network proved to be a suitable technique to recognise the response patterns of a chemical sensor array for its means of counteracting the parameter drift problem. This neural architec...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000