% setup_graphics.m % Initialize the CMAC simulation graphical user interface % % This function creates a comprehensive GUI with multiple visualization panels: % - Memory visualization (top-left): 2D heatmap of CMAC memory weights % - Output comparison (top-right): learned vs. target function % - Input selection (middle): interactive curve for selecting training points % - Bucket visualization (bottom): shows which buckets are activated % - Control buttons and parameter inputs % Create and configure main figure window clf reset % Clear figure and reset properties blackBackground(gcf) set(gcf,'Units','normalized','Name','CMAC Simulation') % Create memory visualization panel (top-left) ax_mem = axes('Position',[0.05 0.52 0.40 0.45]); % Display CMAC memory as a 32x32 heatmap (1024 = 32*32 memory locations) h_mem = surf(0:31,0:31,zeros(32)); view([0 90]) % Top-down view for 2D heatmap axis([0 31 0 31]), axis off, axis equal % Square aspect ratio, no axes clim([-0.04,0.04]) % Set color scale for weight values colormap(bwr); % Use bwr colormap (blue=negative, red=positive) % Create output comparison panel (top-right) ax_out = axes('Position',[0.55 0.5 0.40 0.45]); hold on h_desired = plot(xcoords,ycoords,':','Color','c'); % Target function (cyan, dotted) h_out = plot(xcoords,0*xcoords,'Color','w'); % CMAC output (white, solid) axis([0 360 -1.3 1.3]) % Set axis limits for full input range axis off % Hide axis labels for cleaner appearance % Create interactive input selection panel (middle) ax_in = axes('Position',[0.15 0.30 0.75 0.18]); hold on h_in = plot(xcoords,ycoords,'g'); % Target function (green) axis([0 360 -1.2 1.2]) % Set axis limits box off % Remove box around plot set(ax_in,'Xtick',[0 90 180 270 360]) % Show degree markers set(ax_in,'ButtonDownFcn','clickhandler') % Enable clicking on axes set(h_in,'ButtonDownFcn','clickhandler') % Enable clicking on curve title('Click on the green curve to sample data points','Color','g') % Create bucket visualization panel (bottom) ax_hist = axes('Position',[0.15 0.18 0.75 0.10]); hold on; xlabel('Buckets in Input Space (0-359)'); % X-axis shows input degrees ylabel('Hash #'); % Y-axis shows hash table number set(ax_hist, 'YDir', 'reverse'); % Hash 1 at top, higher numbers below axis([0 360 0 Nhashes+1]); % Set axis limits set(ax_hist,'Xtick',[0 90 180 270 360]) % Show degree markers box on; % Show box around plot set(ax_hist, 'XColor', 'w', 'YColor', 'w'); % White axis labels % Draw bucket rectangles for each hash table g_h_hist_bars = cell(Nhashes * Nbuckets_per_hash, 1); % Store patch handles bmin_matrix = mod(reshape(bmin, Nhashes, Nbuckets_per_hash), 360); % Bucket start positions bmax_matrix = mod(reshape(bmax, Nhashes, Nbuckets_per_hash), 360); % Bucket end positions inactive_color = [0.4 0.4 0.4]; % Gray color for inactive buckets % Draw bucket rectangles for each hash table for i = 1:Nhashes for j = 1:Nbuckets_per_hash x_min = bmin_matrix(i,j); % Bucket start position x_max = bmax_matrix(i,j); % Bucket end position y_pos = i - 0.4; % Vertical position for this hash height = 0.8; % Height of bucket rectangle idx = sub2ind([Nhashes, Nbuckets_per_hash], i, j); % Linear index % Handle wrap-around buckets that cross the 0/360 boundary if x_min > x_max % Split bucket into two parts: [x_min, 359] and [0, x_max] p1 = patch([x_min 359 359 x_min], [y_pos y_pos y_pos+height y_pos+height], inactive_color); p2 = patch([0 x_max x_max 0], [y_pos y_pos y_pos+height y_pos+height], inactive_color); g_h_hist_bars{idx} = [p1, p2]; % Store both patch handles else % Normal bucket that doesn't wrap around p = patch([x_min x_max x_max x_min], [y_pos y_pos y_pos+height y_pos+height], inactive_color); g_h_hist_bars{idx} = p; % Store single patch handle end end end % Create control buttons (bottom row) reset_button = ... uicontrol('Style','Pushbutton', ... 'Units','Pixels', 'Position',[3 3 60 20], ... 'BackgroundColor',[1 0.6 0.6], 'ForegroundColor', [0 0 0], 'String','Reset', ... 'Callback','reset_cmac'); % Clear memory and training points sample_button = ... uicontrol('Style','Pushbutton', ... 'Units','Pixels', 'Position',[70 3 60 20], ... 'BackgroundColor',[1 1 0], 'ForegroundColor', [0 0 0], 'String','Sample', ... 'CallBack','sample_point;plot_cmac'); % Sample one random point sample_10_button = ... uicontrol('Style','Pushbutton', ... 'Units','Pixels', 'Position',[140 3 30 20], ... 'BackgroundColor',[1 1 0],'String','x 10', 'ForegroundColor', [0 0 0], ... 'CallBack','for i=1:10,sample_point,end,plot_cmac'); % Sample 10 random points sample_50_button = ... uicontrol('Style','Pushbutton', ... 'Units','Pixels', 'Position',[180 3 30 20], ... 'BackgroundColor',[1 1 0], 'ForegroundColor', [0 0 0], 'String','x 50', ... 'CallBack','for i=1:50,sample_point,end,plot_cmac'); % Sample 10 random points function_menu = ... uicontrol('Style','Popup', ... 'Units','Pixels', 'Position',[220 3 80 20], ... 'BackgroundColor',[0.2 1 0.2], 'ForegroundColor', [0 0 0], ... 'String',{'sin(x)','sin(3x)','sin(8x)','steps','random'}, ... 'Value',func_mode, ... 'CallBack','setup_data_points'); % Change target function train_button = ... uicontrol('Style','Pushbutton', ... 'Units','Pixels', 'Position',[310 3 70 20], ... 'BackgroundColor',[1 1 0],'ForegroundColor', [0 0 0], 'String','Rehearse', ... 'CallBack','for i=1:size(training_points,1),pcoords=training_points(i,:);train_point,end,plot_cmac'); % Retrain on all points bucketmode_menu = ... uicontrol('Style','Popup', ... 'Units','Pixels', 'Position',[390 3 100 20], ... 'BackgroundColor',[0.2 1 0.2], 'ForegroundColor', [0 0 0], ... 'String',{'Randon','Sequential'}, ... 'Value',bucket_mode, ... 'CallBack','setup_bucket_mode'); % Switch bucket assignment mode % Create parameter control row (second row from bottom) param_row_y = 33; % Number of hash tables control tx = 10; tw=80; uicontrol('Style','text', 'Position',[tx param_row_y tw 20], ... 'BackgroundColor',[0 0 0], 'ForegroundColor',[0.8 0.8 1], ... 'String','N Hashes:'); tx = tx + tw + 10; tw = 40; uicontrol('Style','edit', 'Position',[tx param_row_y tw 20], ... 'String',num2str(Nhashes), ... 'BackgroundColor',[0.8 0.8 1], 'ForegroundColor', [0 0 0], ... 'Tag','nhashes_box', ... 'Callback','update_bucket_params'); % Update number of hash tables % Number of buckets per hash control tx = tx + tw + 20; tw = 120; uicontrol('Style','text', 'Position',[tx param_row_y tw 20], ... 'BackgroundColor',[0 0 0], 'ForegroundColor',[0.8 0.8 1], ... 'String','N Buckets/Hash:'); tx = tx + tw + 10; tw = 60; uicontrol('Style','edit', 'Position',[tx param_row_y tw 20], ... 'String',num2str(Nbuckets_per_hash), ... 'BackgroundColor',[0.8 0.8 1], 'ForegroundColor', [0 0 0], ... 'Tag','nbuckets_box', ... 'Callback','update_bucket_params'); % Update buckets per hash table % Hash stride (offset between hash tables) control tx = tx + tw + 20; tw = 120; uicontrol('Style','text', 'Position',[tx param_row_y tw 20], ... 'BackgroundColor',[0 0 0], 'ForegroundColor',[0.8 0.8 1], ... 'String','Hash Stride(°):'); tx = tx + tw + 10; tw = 40; uicontrol('Style','edit', 'Position',[tx param_row_y tw 20], ... 'String',num2str(hash_stride), ... 'BackgroundColor',[0.8 0.8 1], 'ForegroundColor', [0 0 0], ... 'Tag','hashstride_box', ... 'Callback','update_bucket_params'); % Update hash table offset % Learning rate control tx = tx + tw + 20; tw = 100; uicontrol('Style','Text', ... 'Units','Pixels', 'Position',[tx param_row_y tw 20], ... 'BackgroundColor',[0 0 0], 'ForegroundColor',[0.8 0.8 1], ... 'String','Learning rate:'); tx = tx + tw + 10; tw = 70; uicontrol('Style','Edit', ... 'Units','Pixels', 'Position',[tx param_row_y tw 20], ... 'BackgroundColor',[0.8 0.8 1], 'ForegroundColor', [0 0 0], ... 'String',num2str(g_val), ... 'CallBack','setup_g_value'); % Update learning rate