new ConstantFunction(1, .3f) };
FunctionInput in = new FunctionInput("input", functions, Units.UNK);
NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
NEFEnsemble A = ef.make("A", 100, 1, "A", false);
NEFEnsemble B = ef.make("B", 100, 1, "B", false);
NEFEnsemble C = ef.make("C", 100, 1, "C", false);
NEFEnsemble D = ef.make("D", 100, 1, "D", false);
NEFEnsemble rule1a = ef.make("rule1a", 500, 2, "rule1a", false);
NEFEnsemble rule1b = ef.make("rule1b", 500, 2, "rule1b", false);
NEFEnsemble rule2 = ef.make("rule2", 200, 1, "rule2", false);
rule2.collectSpikes(true);
rule1a.addDecodedOrigin("OR", new Function[] { new MAX(2) },
Neuron.AXON);
rule1b.addDecodedOrigin("AND", new Function[] { new MIN(2) },
Neuron.AXON);
rule1a.doneOrigins();
rule1b.doneOrigins();
rule2.doneOrigins();
NEFEnsemble output = ef.make("output", 500, 5, "fuzzyoutput", false);
net.addNode(in);
net.addNode(A);
net.addNode(B);
net.addNode(C);
net.addNode(D);
net.addNode(rule1a);
net.addNode(rule1b);
net.addNode(rule2);
net.addNode(output);
A.addDecodedTermination("in", new float[][] { new float[] { 1f, 0f, 0f,
0f } }, .005f, false);
B.addDecodedTermination("in", new float[][] { new float[] { 0f, 1f, 0f,
0f } }, .005f, false);
C.addDecodedTermination("in", new float[][] { new float[] { 0f, 0f, 1f,
0f } }, .005f, false);
D.addDecodedTermination("in", new float[][] { new float[] { 0f, 0f, 0f,
1f } }, .005f, false);
net.addProjection(in.getOrigin(FunctionInput.ORIGIN_NAME), A
.getTermination("in"));
net.addProjection(in.getOrigin(FunctionInput.ORIGIN_NAME), B
.getTermination("in"));
net.addProjection(in.getOrigin(FunctionInput.ORIGIN_NAME), C
.getTermination("in"));
net.addProjection(in.getOrigin(FunctionInput.ORIGIN_NAME), D
.getTermination("in"));
rule1a.addDecodedTermination("B", new float[][] { new float[] { 1f },
new float[] { 0f } }, .005f, false);
rule1a.addDecodedTermination("C", new float[][] { new float[] { 0f },
new float[] { 1f } }, .005f, false);
rule1b.addDecodedTermination("A", new float[][] { new float[] { 1f },
new float[] { 0f } }, .005f, false);
rule1b.addDecodedTermination("B or C", new float[][] {
new float[] { 0f }, new float[] { 1f } }, .005f, false);
rule2.addDecodedTermination("D", new float[][] { new float[] { 1f } },
.005f, false);
net.addProjection(B.getOrigin(NEFEnsemble.X), rule1a
.getTermination("B"));
net.addProjection(C.getOrigin(NEFEnsemble.X), rule1a
.getTermination("C"));
net.addProjection(A.getOrigin(NEFEnsemble.X), rule1b
.getTermination("A"));
net.addProjection(rule1a.getOrigin("OR"), rule1b
.getTermination("B or C"));
net
.addProjection(D.getOrigin(NEFEnsemble.X), rule2
.getTermination("D"));
output.addDecodedTermination("rule1", new float[][] {
new float[] { .4f }, new float[] { .3f }, new float[] { .2f },
new float[] { .1f }, new float[] { 0f } }, .005f, false);
output.addDecodedTermination("rule2", new float[][] {
new float[] { 0f }, new float[] { .1f }, new float[] { .2f },
new float[] { .3f }, new float[] { .4f } }, .005f, false);
net.addProjection(rule1b.getOrigin("AND"), output
.getTermination("rule1"));
net.addProjection(rule2.getOrigin(NEFEnsemble.X), output
.getTermination("rule2"));
float neg = -.3f;
float pos = .9f;
float[][] m = new float[][] { new float[] { pos, neg, neg, neg, neg },
new float[] { neg, pos, neg, neg, neg },
new float[] { neg, neg, pos, neg, neg },
new float[] { neg, neg, neg, pos, neg },
new float[] { neg, neg, neg, neg, pos }, };
output.addDecodedTermination("recurrent", m, .005f, false);
Function[] clipped = new Function[] { new Clip(5, 0, 0f, 1f),
new Clip(5, 1, 0f, 1f), new Clip(5, 2, 0f, 1f),
new Clip(5, 3, 0f, 1f), new Clip(5, 4, 0f, 1f) };
output.addDecodedOrigin("recurrent", clipped, Neuron.AXON);
net.addProjection(output.getOrigin("recurrent"), output
.getTermination("recurrent"));
/*
* Add probes
*/