?? nndicon.m
字號:
function h = nndicon(c,x,y,f,s)
%NNDICON Icons for Neural Network Design GUI.
% NNDICON(C,'book')
% C - Chapter number from Neural Network Design textbook.
% Draws the icon for chapter C.
%
% NNDICON(C,X,Y,F,S)
% X - Horizontal position.
% Y - Vertical position.
% F - Shadow box flag (default = 0).
% S - Size (optional).
% Draws the icon for chapter C at position (X,Y) with size S.
% If F is nonzero, then the icon casts a shadow.
% Copyright 1994-2002 PWS Publishing Company and The MathWorks, Inc.
% Mark Beale 6-4-94
% $Revision: 1.6 $
% DEFAULTS
visible = 'on';
book = 0;
mini = 0;
if nargin == 0, error('Not enough input arguments.'); end
if nargin < 4, f = 0; else f = 1; end
if nargin < 3, y = 0; end
if nargin < 2, x = 0; mini = 1; end
if nargin == 2,if isstr(x)
if strcmp(lower(x),'invisible'), visible = 'off'; else book = 1; end
x = 0; mini = 1;
end, end
% FIGURE
if mini
pos = get(0,'defaultfigureposition');
fig = figure(...
'units','points',...
'pos',[pos(1) (pos(2)+pos(4)-60) 60 60],...
'resize','off',...
'number','off',...
'name','',...
'colormap',nncolor,...
'visible',visible);
set(gca,...
'units','points',...
'pos',[0 0 60 60],...
'xlim',[-30 29.9],...
'ylim',[-30 29.9],...
'nextplot','add')
axis('equal')
axis('off')
else
fig = gcf;
end
% COLORS
if book
red = [1 1 1]*0.5;
blue = [0 0 1]*0.5;
yellow = [1 1 1];
orange = [1 1 1]*0.5;
else
red = nnred;
blue = nndkblue;
yellow = nnyellow;
orange = [1 0.5 0];
end
% STORE FIGURE STATE
NPF = get(fig,'nextplot');
NPA = get(gca,'nextplot');
set(fig,'nextplot','add');
set(gca,'nextplot','add');
hold on
% SHADOW
rect_x = [-1 1 1 -1];
rect_y = [-1 -1 1 1];
if f
shadow_h = fill(x+rect_x*25+4,y+rect_y*25-4,nndkgray,...
'edgecolor','none',...
'erasemode','none');
else
shadow_h = [];
end
% ICON FRAME
frame_h1 = fill(x+rect_x*25,y+rect_y*25,red, ...
'edgecolor','none', ...
'erasemode','none');
frame_h2 = fill(x+rect_x*20,y+rect_y*20,blue, ...
'edgecolor','none', ...
'erasemode','none');
% CHAPTER 0: TOC
if c == 0
icon_h = [];
% CHAPTER 1: INTRO
elseif c == 1
icon_h = [];
% CHAPTER 2: ARCHITECTURES
elseif c == 2
line_h1 = nnline(x+[10 9 8 8],y+[8 7 6 -14],4,yellow,'none');
line_h2 = nnline(x+[-10 -9 -8 -8],y+[8 7 6 -14],4,yellow,'none');
line_h3 = nnline(x+[14 -14],y+[14 14],4,yellow,'none');
line_h4 = nnline(x+[0 0],y+[8 -14],4,yellow,'none');
icon_h = [line_h1; line_h2; line_h3; line_h4];
% CHAPTER 3: ILLUSTRATIVE EXAMPLE
elseif c == 3
orange_x = [5 0 0 5 10 15 15 10]-7+x;
orange_y = [15 10 5 0 0 5 10 15]-7+y;
apple_x = [7.5 5 0 0 5 7.5 10 15 15 10]-7+x;
apple_y = [13 15 10 5 0 2 0 5 10 15]-7+y;
orange = fill(orange_x-11, orange_y+7,orange,...
'edgecolor',yellow,...
'linewidth',2,...
'erasemode','none');
apple = fill(apple_x+8, apple_y-7,red,...
'edgecolor',yellow,...
'linewidth',2,...
'erasemode','none');
slash = nnline(x+[-14 14],y+[-14 14],1,red,'none');
icon_h = [orange; apple; slash];
% CHAPTER 4: PERCEPTRONS
elseif c == 4
line_h1 = nnline(x+[-14 14],y+[-14 -14],3,red,'none');
line_h2 = nnline(x+[-14 0 0 14],y+[-14 -14 14 14],4,yellow,'none');
icon_h = [line_h1; line_h2];
% CHAPTER 5: SIGNAL AND WEIGHT VECTOR SPACES
elseif c == 5
vec_h1 = nnarrow(x+[-14 14],y+[-14 14],2,yellow,'none');
%vec_h2 = nnarrow(x+[-14 2],y+[-14 14],2,yellow,'none');
icon_h = [vec_h1];
% CHAPTER 6: LINEAR TRANSFORMATIONS
elseif c == 6
angle = [10:2:80]*pi/180;
circle_x = cos(angle);
circle_y = sin(angle);
patch_h1 = patch(x-14+20*circle_x,y-14+20*circle_y,yellow,...
'erasemode','none',...
'edgecolor','none');
patch_h2 = patch(x-14+18*circle_x,y-14+18*circle_y,blue,...
'erasemode','none',...
'edgecolor','none');
vec_h1 = nnarrow(x+[-14 14],y+[-14 -7],2,yellow,'none');
vec_h2 = nnarrow(x+[-14 -7],y+[-14 14],2,yellow,'none');
icon_h = [patch_h1; patch_h2; vec_h1; vec_h2];
% CHAPTER 7: SUPERVISED HEBB
elseif c == 7
half_angle = [90:2.5:270]*pi/180;
half_x = cos(half_angle)*8;
half_y = sin(half_angle)*8;
line_h1 = nnline(x+[-15 -5],y+[0 0],3,yellow,'none');
line_h2 = nnline(x+[5 15],y+[0 0],3,yellow,'none');
half_h1 = patch(x+half_x-2,y+half_y,yellow,...
'erasemode','none',...
'edgecolor','none');
half_h2 = patch(x-half_x+2,y+half_y,yellow,...
'erasemode','none',...
'edgecolor','none');
icon_h = [line_h1; line_h2; half_h1; half_h2];
% CHAPTER 8: SURFACES AND MINIMA
elseif c == 8
angle = [0:10:360]*pi/180;
circle_x = cos(angle);
elipse_y = sin(angle);
elipse_x = circle_x + elipse_y*0.4;
patch_h1 = patch(x-15*elipse_x,y+15*elipse_y,yellow,...
'erasemode','none',...
'edgecolor','none');
patch_h2 = patch(x-11*elipse_x,y+11*elipse_y,blue,...
'erasemode','none',...
'edgecolor','none');
patch_h3 = patch(x+3*circle_x,y+3*elipse_y,yellow,...
'erasemode','none',...
'edgecolor','none');
icon_h = [patch_h1; patch_h2; patch_h3];
% CHAPTER 9: OPTIMIZATION
elseif c == 9
angle = [0:10:360]*pi/180;
circle_x = cos(angle);
elipse_y = sin(angle);
elipse_x = circle_x + elipse_y*0.4;
patch_h1 = patch(x-14*elipse_x,y+14*elipse_y,yellow,...
'erasemode','none',...
'edgecolor','none');
patch_h2 = patch(x-11.8*elipse_x,y+11.8*elipse_y,blue,...
'erasemode','none',...
'edgecolor','none');
patch_h3 = patch(x-8*elipse_x,y+8*elipse_y,yellow,...
'erasemode','none',...
'edgecolor','none');
patch_h4 = patch(x-6*elipse_x,y+6*elipse_y,blue,...
'erasemode','none',...
'edgecolor','none');
patch_h5 = patch(x+3*circle_x,y+3*elipse_y,yellow,...
'erasemode','none',...
'edgecolor','none');
line_h = nnline(x+[-20 -16 -14 -10 -5 0],y+[8 10 10 8 4 0],2,red,'none');
icon_h = [patch_h1; patch_h2; patch_h3; patch_h4; patch_h5; line_h];
% CHAPTER 10: LINEAR NETWORKS
elseif c == 10
t=0:.05*2*pi:2*pi;
yy=30*exp(-0.4*t).*sin(t);
xx=1:length(yy);
xx=30*xx/length(yy)-15;
line_h1 = nnline(x+[-14 14],y+[0 0],2,red,'none');
line_h2 = nnline(x+xx,y+yy,2,yellow,'none');
icon_h = [line_h1; line_h2];
% CHAPTER 11: BACKPROPAGATION
elseif c == 11
line_h1 = nnline(x+[-14 14],y+[0 0],3,red,'none');
n = -5:0.25:5;
a = 2./(1+exp(-2*n))-1;
xx = n/5*15;
yy = a/1*15;
line_h2 = nnline(x+xx,y+yy,4,yellow,'none');
icon_h = [line_h1; line_h2];
% CHAPTER 12: VARIATIONS ON BACKPROPAGATION
elseif c == 12
patch_h1 = patch(x+1+[-17 -10 -4 0 14 0 -4],...
y+[11 16 0 8 -15 -2 -7],yellow,...
'erasemode','none',...
'edgecolor','none');
icon_h = [patch_h1];
% CHAPTER 13: GENERALIZATION
elseif c == 13
circle_x = [ 5 2 0 0 2 5 10 13 15 15 13 10]/2-7+x;
circle_y = [15 13 10 5 2 0 0 2 5 10 13 15]/2-7+y;
circle1 = fill(circle_x-3, circle_y+9,yellow,...
'linewidth',1,...
'erasemode','none');
circle2 = fill(circle_x+1, circle_y-8,yellow,...
'linewidth',1,...
'erasemode','none');
circle3 = fill(circle_x+15, circle_y+6,yellow,...
'linewidth',1,...
'erasemode','none');
slash = nnline(x+[-14 14],y+[-14 14],1,red,'none');
icon_h = [circle1; circle2; circle3; slash];
% CHAPTER 14: Dynamic Networks
elseif c == 14
line_h1 = nnline(x+[-14 14 14 -14 -14],y+[-14 -14 14 14 -14],3,red,'none');
n=[-6 0.5 2 3 3.5 4 4.5 4.5 5 5 5 5 5 5 5 5 5 4.5 4.5 4 3.5 3 2 0.5 -6 -4.5 -4 -4 -4.5 -6];
a=[-5.5 -5.5 -5:.5:5 5.5 5.5 5 4 -4 -5 -5.5];
%n = -5:0.25:5;
%a = 2./(1+exp(-2*n))-1;
xx = n/10*15;
yy = a/10*15;
line_h2 = nnline(x+xx,y+yy,2,yellow,'none');
icon_h = [line_h1; line_h2];
% CHAPTER 15: ASSOCIATIVE LEARNING RULES
elseif c == 15
radius = 6.5;
angle = [0:10:360]*pi/180;
full_x = cos(angle)*radius;
full_y = sin(angle)*radius;
half_angle = [90:10:270]*pi/180;
half_x = cos(half_angle)*radius;
half_y = sin(half_angle)*radius;
line_h1 = nnline(x+[-15 -8],y+[-5 -5],4,yellow,'none');
half_h1 = patch(x+half_x-6,y+half_y-5,yellow,...
'erasemode','none',...
'edgecolor','none');
line_h2 = nnline(x+[6 15],y+[-5 -5],4,yellow,'none');
full_h2 = patch(x-full_x+3,y+full_y-5,yellow,...
'erasemode','none',...
'edgecolor','none');
line_h3 = nnline(x+[3 3],y+[15 7],4,yellow,'none');
half_h3 = patch(x-half_y+3,y-half_x+5,yellow,...
'erasemode','none',...
'edgecolor','none');
icon_h = [line_h1; line_h2; line_h3; half_h1; full_h2; half_h3];
% CHAPTER 16: COMPETITIVE
elseif c == 16 | c == 14 % Temp remove 14 later ODJ
angle = [0:20:360] * pi/180;
cx = cos(angle);
cy = sin(angle);
paddle1 = patch(x-11+6*cx,y+4+6*cy,yellow,...
'erasemode','none',...
'edgecolor','none');
paddle2 = patch(x+11+6*cx,y+4+6*cy,yellow,...
'erasemode','none',...
'edgecolor','none');
handle1 = patch(x+[-13 -10 -5 -8],y+[4 5 -5 -6],yellow,...
'erasemode','none',...
'edgecolor','none');
handle2 = patch(x+[13 10 5 8],y+[4 5 -5 -6],yellow,...
'erasemode','none',...
'edgecolor','none');
ball = patch(x+2*cx,y+5+2*cy,yellow,...
'erasemode','none',...
'edgecolor','none');
icon_h = [paddle1; paddle2; handle1; handle2; ball;];
% ODJ 9/17/06 New Chapter
% CHAPTER 17: RADIAL BASIS NETWROKS
elseif c == 17
line_h1 = nnline(x+[-14 14],y+[-14 -14],3,red,'none');
n = -2.5:0.25:2.5;
a = exp(-(n.*n)); %radbas(n);
xx = n/2.5*15;
yy = a/1*30-14;
line_h2 = nnline(x+xx,y+yy,4,yellow,'none');
icon_h = [line_h1; line_h2];
% CHAPTER 18: GROSSBERG
elseif c == 18
angle = [0:10:360] * pi/180;
cx = cos(angle);
cy = sin(angle);
eyeball = plot(x+15*cx,y+15*cy,...
'color',yellow,...
'linewidth',2,...
'erasemode','none');
angle = [120:10:250] * pi/180;
cx = cos(angle);
cy = sin(angle);
iris = plot(x+15+8.7*cx,y+8.7*cy,...
'color',yellow,...
'linewidth',2,...
'erasemode','none');
angle = [135 180 215] * pi/180;
cx = cos(angle);
cy = sin(angle);
for i=1:3
iris = [iris; plot(x+15+cx(i)*[0 8.7],y+cy(i)*[0 8.7],...
'color',yellow,...
'linewidth',1,...
'erasemode','none')];
end
pupil = plot(x+15+3*cx,y+2*cy,...
'color',yellow,...
'linewidth',3,...
'erasemode','none');
icon_h = [eyeball; iris; pupil];
% CHAPTER 19: ART
elseif c == 19
angle = [0:10:360] * pi/180;
scale1 = [0.8 0.85 0.9 0.95 1.0 1.0 0.95 0.9 0.85 0.85];
scale2 = scale1(9:-1:1);
scale3 = [0.75 0.7 0.65 0.65 0.65 0.675 0.725 0.8 0.9];
scale4 = fliplr(scale3);
scale = 1.25*[scale1 scale2 scale3 scale4];
cx = scale.*cos(angle);
cy = scale.*sin(angle);
face = plot(x+15*cx,y+15*cy,...
'color',yellow,...
'linewidth',2,...
'erasemode','none');
cx = cos(angle);
cy = 0.5*sin(angle);
eye1 = plot(x-8+4*cx,y+10+4*cy,...
'color',yellow,...
'linewidth',1,...
'erasemode','none');
cx = cos(angle);
cy = 0.5*sin(angle);
rotate = [.707 -.707; .707 .707];
ctot = rotate*[cx; cy];
cx = ctot(1,:);
cy = ctot(2,:);
eye2 = plot(x+8+4*cx,y+8+4*cy,...
'color',yellow,...
'linewidth',1,...
'erasemode','none');
cx = cos(angle);
cy = 0.5*sin(angle);
rotate = [.707 .707; -.707 .707];
ctot = rotate*[cx; cy];
cx = ctot(1,:);
cy = ctot(2,:);
mouth = plot(x-2+4*cx,y-9+4*cy,...
'color',yellow,...
'linewidth',1,...
'erasemode','none');
nose = nnline(x+[-1 0 1 0 -2 -4 0 2 3], ...
y+[9 6 4.5 3 -1 -3 -3 -4 -6],1,yellow,'none');
icon_h = [face; eye1; eye2; mouth; nose];
% CHAPTER 20: STABILITY
elseif c == 20
angle = [0:10:180] * pi/180;
hillx = cos(angle);
hilly = sin(angle);
hill = plot(x+hillx*15,y+hilly*25-15,...
'color',yellow,...
'linewidth',3,...
'erasemode','none');
angle = [0:20:360] * pi/180;
circx = cos(angle);
circy = sin(angle);
ball = patch(x+3*circx,y+14+3*circy,yellow,...
'erasemode','none',...
'edgecolor','none');
icon_h = [hill; ball];
% CHAPTER 21: HOPFIELD
elseif c == 21
xx = [0 0 -12 0 0 0 12 0];
yy = [15 10 10 -10 -15 -10 10 10];
triangle = plot(x+xx,y+yy,...
'color',yellow,...
'linewidth',2,...
'erasemode','none');
angle = [0:20:360] * pi/180;
xx = cos(angle);
yy = sin(angle);
circle = plot(x-5+xx*3,y-6+yy*3,...
'color',yellow,...
'linewidth',2,...
'erasemode','none');
xx = [-5 -5];
yy = [-9 -15];
line = plot(x+xx,y+yy,...
'color',yellow,...
'linewidth',2,...
'erasemode','none');
icon_h = [triangle; circle; line];
% ICON 100: SUMMATION
elseif c == 100
line_h1 = nnline(x+[10 -10 4 -10 10],y+[14 14 0 -14 -14],3,yellow,'none');
icon_h = [line_h1];
% ICON 101: F
elseif c == 101
line_h1 = nnline(x+[10 -10 -10 10],y+[14 14 0 0],4,yellow,'none');
line_h2 = nnline(x+[-10 -10],y+[0 -14],4,yellow,'none');
icon_h = [line_h1; line_h2];
end
% BOOK STUFF
if book
axis('off')
axis('equal')
set(gcf,'color',[1 1 1])
set(gcf,'inverthardcopy','off')
end
% RESTORE FIGURE STATE
set(gca,'nextplot',NPA);
set(fig,'nextplot',NPF);
% RETURN ICON
if nargout, h = [shadow_h; frame_h1; frame_h2; icon_h]; end
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