carlearned.txt

人工智能§神经网络模拟软件§java环境开发

% Auto-generated on Wed Jul 17 10:06:11 PDT 2002

% Nodes
% N: index, node_name, x_position, y_position, parameter_value;
N: 0, vhigh, -202.98212, -27.404392, -1.0;
N: 1, high, -181.99301, -27.404392, -1.0;
N: 2, med, -161.00392, -27.404392, -1.0;
N: 3, low, -140.01486, -27.404392, 1.0;
N: 4, vhigh, -119.02575, -27.404392, -1.0;
N: 5, high, -98.036674, -27.404392, -1.0;
N: 6, med, -77.04758, -27.404392, -1.0;
N: 7, low, -56.058487, -27.404392, 1.0;
N: 8, 2, -35.069393, -27.404392, -1.0;
N: 9, 3, -14.080307, -27.404392, -1.0;
N: 10, 4, 6.908784, -27.404392, -1.0;
N: 11, 5more, 27.897873, -27.404392, 1.0;
N: 12, 2, 48.886963, -27.404392, -1.0;
N: 13, 4, 69.87605, -27.404392, -1.0;
N: 14, more, 90.86514, -27.404392, 1.0;
N: 15, small, 111.85424, -27.404392, -1.0;
N: 16, big, 132.84334, -27.404392, 1.0;
N: 17, med, 153.83243, -27.404392, -1.0;
N: 18, low, 174.8215, -27.404392, -1.0;
N: 19, high, 195.8106, -27.404392, -1.0;
N: 20, med, 216.79968, -27.404392, 1.0;
N: 21, Hidden 1, -202.98212, -6.4153028, 0.9116730722439365;
N: 22, Hidden 2, -181.99301, -6.4153028, 0.6125501659261992;
N: 23, Hidden 3, -161.00392, -6.4153028, 0.3943873314023471;
N: 24, unacc, -202.98212, 14.573788, 0.49925293192257764;
N: 25, acc, -181.99301, 14.573788, -0.8658596090532702;
N: 26, vgood, -161.00392, 14.573788, -1.464750332671718;
N: 27, good, -140.01486, 14.573788, -1.5736611793047581;

% Edges
% E: from_node_index, to_node_index, parameter_value;
E: 0, 21, 0.4790915154277375;
E: 1, 21, -0.10311766894634024;
E: 2, 21, -0.8931626920467242;
E: 3, 21, -1.131701167972329;
E: 4, 21, 0.7295116811305102;
E: 5, 21, -0.023311968093269603;
E: 6, 21, -0.6198520561564798;
E: 7, 21, -0.5328201179861412;
E: 8, 21, 0.2947958232499148;
E: 9, 21, -0.12055573974553893;
E: 10, 21, -0.06950111030964748;
E: 11, 21, -0.026988830162000082;
E: 12, 21, 1.3212370175418113;
E: 13, 21, -1.5827165040060458;
E: 14, 21, -1.4534941763171874;
E: 15, 21, 0.12142520921726248;
E: 16, 21, -0.6561205078844895;
E: 17, 21, -0.18582059522816974;
E: 18, 21, 2.5455472250546953;
E: 19, 21, -0.7519373169509352;
E: 20, 21, -0.05710836910238654;
E: 0, 22, 0.4417224258517558;
E: 1, 22, -0.43145078833087247;
E: 2, 22, -0.5393124243481999;
E: 3, 22, -1.1654847279838885;
E: 4, 22, 0.30507444435212505;
E: 5, 22, -0.5740998386956061;
E: 6, 22, -1.0517531441999577;
E: 7, 22, 0.43117172436023354;
E: 8, 22, 0.2266042828118768;
E: 9, 22, 0.09219131623634877;
E: 10, 22, 0.2912526760616139;
E: 11, 22, -0.3720974370765231;
E: 12, 22, -0.8428008623729701;
E: 13, 22, 0.45345312401640897;
E: 14, 22, 0.7110858165222257;
E: 15, 22, -0.01631174680246704;
E: 16, 22, -0.6322708761940732;
E: 17, 22, -0.006621572633146203;
E: 18, 22, -1.0804725423193795;
E: 19, 22, 0.13842003814222567;
E: 20, 22, 0.5717480462004066;
E: 0, 23, 0.11811602238450428;
E: 1, 23, -0.1527784226123711;
E: 2, 23, 0.9485638911706811;
E: 3, 23, 0.8001137299265726;
E: 4, 23, -1.1234210015317996;
E: 5, 23, -0.5754691147638548;
E: 6, 23, 0.9480116225584653;
E: 7, 23, 0.24139652399883837;
E: 8, 23, -0.3694585677642215;
E: 9, 23, -0.5920500106684822;
E: 10, 23, 0.46140860764248304;
E: 11, 23, 0.7524149750124717;
E: 12, 23, -0.8979044806632901;
E: 13, 23, 0.36500998147408314;
E: 14, 23, 0.4356159927487664;
E: 15, 23, -0.8871080503562739;
E: 16, 23, 0.9392695337352621;
E: 17, 23, 0.6056031905775664;
E: 18, 23, -0.5175951207191402;
E: 19, 23, 0.7368598777768904;
E: 20, 23, 0.3250124812239129;
E: 21, 24, 3.46153358425628;
E: 22, 24, -1.1089396017688045;
E: 23, 24, -1.4517384851668278;
E: 21, 25, -2.470576362264347;
E: 22, 25, 1.0894981237674701;
E: 23, 25, 0.5742364568256627;
E: 21, 26, -1.0419589517152048;
E: 22, 26, -1.2519374230232134;
E: 23, 26, -0.42012017287612846;
E: 21, 27, -1.0467428091287267;
E: 22, 27, -1.451807180254366;
E: 23, 27, -0.25180491054156745;

% Examples
% T: input1's title, input2's title, ..., output1's title, output2's title, ...;
% 	 note that the order must be input nodes in ascending index order, 
% 	 followed by output nodes in ascending index order.
% A: or X: training - input1's value, input2's value, ..., output1's value, output2's value, ...;
% B: test - input1's value, input2's value, ..., output1's value, output2's value, ...;
T: vhigh, high, med, low, vhigh, high, med, low, 2, 3, 4, 5more, 2, 4, more, small, big, med, low, high, med, unacc, acc, vgood, good;
A: 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0;
A: 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0;