Intelligent numerical Analysis

l   Course Outline

l   Rossenblatt's perceptrons A probabilistic model

l   Potts perceptrons

ü  Multilayer Potts Perceptrons With Levenberg–Marquardt Learning

ü  Learning multilayer potts perceptrons for blind deconvolution 中國統計學報

l   Mahalanobis-NRBF modules

ü  Prediction of chaotic future

ü  Annealed cooperativecompetitive learning of Mahalanobis-NRBF neural modules for nonlinear and chaotic differential function approximation

l   FAgadaline.pdf

l   Sudoku Associative memory

l   Annealed Kullback-Leibler divergence minimization

l   Set-Valued functional neural mapping

l   ICA based on marginal density estimation using weighted Parzen windows

l   ART, ICA, SOM, NAM, No-prop

l   Introduction

l   Independent component analysis note

ü  JadeICA

ü  FastICA

ü  Sound_obs 

ü  real_mixture_sound1.wav  real_mixture_sound2.wav  real_mixture_sound.rar

ü  rss_mA.wav  rss_mB.wav  ic_a.wav  ic_b.wav 

l   Fetal ECG extraction by independent component analysis pdf  exercise 2012

ü  demo

ü  Matlab datafile of mixed facial images

ü  Show face image 

ü  MECG

ü  Artificially created MECG

ü  Microphone 1  Microphone 2

l   Nonlinear independent component analysis pdf  20120326note1

ü  Nonlinear ICA.pdf

l   Classification

ü  Discriminant analysis 

                                            20120402note1  20140402note2

                                            20120409exercise  20120409code

²  PottsNDA.pdf

²  PottsNDA.exe PottsNDA.ctf extractCTF.exe

²  PottsNDA.rar

²  data.rar

l   Function Approximation pdf

ü  Plot a 2-D function

ü  fa1.m fit_HP.m fa2.m

ü  NNSYSID toolbox

ü  noisescan 

l   Radial basis functions pdf

ü  Raetsch RBF Group

l   Classification of hill-valley patterns 20120416checkpoints

l   demo_hill_valley.m

l   PenWritten

ü  20120507 note

ü  Pen_writting.rar   pen writting3.rar read_data.rar

ü  demo1_track2.m

ü  a&b

ü  gen_module.m

l   Dimensionality Reduction

l   Lattice-connected Gaussian Mixtures

l   ISOMAP for Dimensionality Reduction

l   Final report template

l   Principle Component Analysis pdf

ü  pca

ü  20120514 note

ü  20120521 note

l   Gene Clustering   pdf

ü  Yeast gene expression

ü  MATLAB Clustering

ü  Data: data_9  data_25 

ü  an_kmeans.m  cross_dis.m

ü  Data yeast_822.rar

l   Breast Cancer Diagnosis pdf

²  breast_train.dat

²  breast_test.dat

²  demo.m

²  Machine learning for Cancer Diagnosis and Prognosis

²  - Remote breast cancer diagnosis system

ü  Nearest classifier for face recognition pdf

²  facial_pca.rar

²  face database

²  get faces

²  training and testing sets

l     Cancer classification based on microarray gene expression   pdf

ü  SRBCT

ü  Data gene matrix category

ü  Source

l   Colon cancer classification

ü  Data gene matrix category

ü  Source

l   Genes screened for colon cancer diagnosis

l   Final projects   FA_based_on_kmeans

l   MATLAB Neural Networks Toolbox