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updated 1 year ago

Improved Feedforward Neural Networks Using PSOGSA by Seyedali Mirjalili

This program is an improved Feedforward Neural Network using a hybrid algorithm called PSOGSA. (optimization, particle swarm optimi..., pso)

o=My_FNN(Ino,Hno,Ono,W,B,x1,x2,x3,x4)

output=My_sigmoid(x)

FNNGSA.m

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updated 2 years ago

Active Shape Model (ASM) and Active Appearance Model (AAM) by Dirk-Jan Kroon

Cootes 2D/3D Active Shape & Appearance Model for automatic image object segmentation and recognition (asm, active shape model, active shape)

A=imresize3d(V,scale,tsize,ntype,npad)

AAM_2D_example.m

AAM_3D_train_example.m

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updated 2 years ago

Shape Context Based Corresponding Point Models by Dirk-Jan Kroon

Shape Context based nonrigid registration of 2D/3D objects, to build Active Shape Models (shape context, corresponding point m..., corresponding points)

A=imresize3d(V,scale,tsize,ntype,npad)

A=imresize3d(V,scale,tsize,ntype,npad)

A=imresize3d(V,scale,tsize,ntype,npad)

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updated almost 3 years ago

Rprop by Roberto Calandra

Rprop training for Artificial Neural Networks (artificial neural net..., neural network, nn)

Demo_Rprop_1(batch)

Demo_Rprop_2(batch)

RNN.MSE(inputs,targets)

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updated almost 15 years ago

rnnsimv2.zip by Hossam Abdelbaki

Contains a number of m-files for training and evaluation of the random neural network (fuzzy logic, neural networks, training)

Initialize_Weights()

etract_name(Name)

load_net_file(File_Name)

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updated almost 16 years ago

rnnsim.zip by Hossam Abdelbaki

The program can be used in training and testing the Random Neural Network(RNN) models. (fuzzy logic, neural networks, training)

about_nn()

demo_nn()

draw_nn()

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