Reti Neurali A.A. 2004/05  - HOME PAGE       

• Programma A.A. 2004/05

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• Sillabo RN dettagliato A.A. 2004/05
  

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• Esercitazioni di laboratorio  AA.2004/05

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• Pagina ad accesso riservato (chiedere permesso di accesso al docente)
  

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• Orario (il corso si svolge nel primo semestre)

• Esami
  
• Per essere ammessi all'esame orale occorre consegnare tutte le relazioni  di laboratorio almeno una settima prima dell'appello se l'appello e' entro Feb 2005, o almeno  un mese prima dell'appello se l'appello e' successivo a  Feb 2005.
• Le date degli appelli "standard" sono sul sito didattica
• Lunedi 28 Febbraio 2005 ci sara' un appello straordinario.Gli studenti interessati sono pregati di registrarsi sul foglio appeso sulla porta di S204.  Saranno ammessi SOLO coloro che avranno spedito via email le relazioni del laboratorio ENTRO VENERDI 18 FEB 2005. L'appello si svolgera' nel seguente modo:

• Software utili
  
• Ensemble Lab puntatori a data base e sw
  
• simulatori
• Java

• JavaNNS Java Neural Network Simulator
  
• Neural Java - a neural network tutorial with Java applets
• Web Sim - A Java neural network simulator
• SW GNU/Linux AI & Alife 
• Perceptron Learning Rule (CNNL)
• Principal Component Extraction via Various Hebbian-Type Rules (CNNL)
• Clustering via Simple Competitive Learning (CNNL)
• Joone  neural net framework to create, train and test neural nets.
  
• SOM: Self-Organizing Maps (Supports various methods & data distributiuons; authored by H.S. Loos & B. Fritzke)
• Backprop Trained Multilayer Perceptron for Function Approximation (CNNL) (Demonstrates generalization effects of early stoping of training)
• Multilayer Perceptron
• Neural Nets for Control: The Ball Balancing Problem (CNNL)
• Backprop Trained Multilayer Perceptron Handwriting Recognizer (by Bob Mitchell)
• Image Compression Using Backprop (CNNL)
• Generalizations of the Hamming Associative Memory (CNNL)
• The Extreme Point Machine (EPM)
• Hopfield Neural Network Applet 
• Binary Hopfield Neural Network Applet 
• Applets for Neural Networks and Artificial Life Neural Network
• Character Recognition Applet by Francesco Saverio Parlato -- uses a backprop network to recognize noisy 5x7 letters
• OCHRE (Optical CHaracter REcognition) by Jason Tiscione -- another backprop network doing character recognition. Nice tutorial and interface.
• Web applets for interactive tutorials on artificial neural learning by Fred Corbett -- The starting point for several of our applets here (artificial neuron, perceptron learning, multilayer perceptron applets). 
• Dynamic Associative Neural Memory Simulator by David Clark -- performs many learning algorithms

• C

• MBP (Matrix Back Propagation) is a very efficient implementation of the  back-propagation algorithm. On some machines (and with large networks) a 30-40x speed-up can be measured with respec to conventional implementations.
• SNNS Stuttgart Neural Network Simulator  
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• Neural Networks at your Fingertips  -- portable, self-contained ANSI C programs for ADALINE, Backprop (time-series application), Hopfield, Bidirectional associative memory, Self-organizing maps, etc.
• The Perceptron Applet -- uses Tk for the user interface
• Neural Networks for Face Recognition
• Neural Network Source Code
• Neural Network Using Genetic Algorithm, NNUGA
• Libneural homepage
• SOM_PAK and LVQ_PAK  Self-Organizing Map algorithm and  Learning Vector Quantization

• C++

• PDP++ software is a neural-network simulation system written in C++.

• Backprop C++ code

• Spiderweb
  -- an object-oriented C++ library for designing, implementing, and
  using artificial neural networks.

• General
• Visual Data Mining with Neural Networks
• Support Vector Machines (SVM)

• sviluppo algoritmi
• The R Project for Statistical Computing (freeware simile a  Matlab (c) utilizzato in statistica e apprendimento automatico) e packages addizionali
• SCILAB (freeware simile  a Matlab (c))
• Octave  (freeware simile  a Matlab (c))
• DOC++ (da input .h dei programmi in C, C++ e Java produce automaticamente documentazione HTML)
• Javadoc  (from Sun Microsystems)  generates API documentation in HTML format from doc comments in source code
  
• GSL - GNU Scientific Library 
• Numerical Recipes   allegato a W.H. Press, S. A. Teukolsky, W.T. Vetterling, B.P. Flannery Numerical Rece. Vetterling, B.P. Flannery Numerical Recepies in C: the Art of Scientific Computing (2nd ed.), Cambridge University Press, 1992 (MAT 68-1992-094, NG2 EL.O1.0151, DISEG F.0796)
  
• sw locale

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• Documenti utili e/o interessanti:
• Introduzione alle reti neurali
• THE NERVOUS SYSTEM
• Testi on-line
• Testo di Nilsson
• Testo di McKay
  
• FAQ reti neurali  http://www-2.cs.cmu.edu/Groups/AI/html/faqs/ai/neural/faq.html
• DMOZ project  http://dmoz.org/Computers/Artificial_Intelligence/