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How to realize the Classification of Neural Network by matlab

2025-03-31 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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This article Xiaobian for you to introduce in detail "matlab how to achieve neural network classification", the content is detailed, the steps are clear, the details are handled properly, I hope that this "matlab how to achieve neural network classification" article can help you solve your doubts, following the editor's ideas slowly in-depth, together to learn new knowledge.

% clear environment variables

Clear

Clc

%% training set / test set generation

% Import data

Load water_data.mat

% data normalization

Attributes = mapminmax (attributes)

% training set-35 samples

P_train = attributes (:, 1:35)

T_train = classes (:, 1:35)

% Test set-4 samples

P_test = attributes (:, 36:end)

T_test = classes (:, 36:end)

%% competitive neural network creation, training and simulation testing

% create a network

Net = competlayer (4)

% set training parameters

Net.trainParam.epochs = 500,

% training network

Net = train (net,P_train)

% Simulation Test

% training set

T_sim_compet_1 = sim (net,P_train)

T_sim_compet_1 = vec2ind (t_sim_compet_1)

% Test set

T_sim_compet_2 = sim (net,P_test)

T_sim_compet_2 = vec2ind (t_sim_compet_2)

%% SOFM neural network creation, training and simulation testing

% create a network

Net = selforgmap ([4 4])

% set training parameters

Net.trainParam.epochs = 200

% training network

Net = train (net,P_train)

% Simulation Test

% training set

T_sim_sofm_1 = sim (net,P_train)

T_sim_sofm_1 = vec2ind (t_sim_sofm_1)

% Test set

T_sim_sofm_2 = sim (net,P_test)

T_sim_sofm_2 = vec2ind (t_sim_sofm_2)

%% distribution of network neurons

View Network Topology structure

Figure

Plotsomtop (net)

% to view the direct distance of neighboring neurons

Figure

Plotsomnd (net)

% View the classification of each neuron

Figure

Plotsomhits (net,P_train)

%% result comparison

% competitive neural network

Result_compet_1 = [Troubles' Tubes simplex TV1']

Result_compet_2 = [Thumtest`This simplex examples are tantalized 2']

% SOFM neural network

Result_sofm_1 = [Troubles' Tubes simplex softplaces 1']

Result_sofm_2 = [Tempest 'Tunable simplex softfloor 2']

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