[171] | 1 | using System; |
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| 2 | using System.Collections.Generic; |
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| 3 | using System.Linq; |
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| 4 | using System.Text; |
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| 5 | |
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| 6 | namespace BCMToolbox |
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| 7 | { |
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| 8 | |
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| 9 | #region Hebbian2 Base |
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| 10 | public abstract class SynchronousHebbian2Network : FixedTraceableNetwork |
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| 11 | { |
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| 12 | double[] __intermediaryOutputs = null; |
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| 13 | |
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| 14 | |
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| 15 | protected Func<double, double> __activation = MathToolbox.Sigmoid; |
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| 16 | protected Func<double, double> __activation_inverse = MathToolbox.InverseSigmoid; |
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| 17 | |
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| 18 | public SynchronousHebbian2Network(int neuronCount, int newID) |
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| 19 | : base(neuronCount, newID) |
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| 20 | { |
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| 21 | __intermediaryOutputs = new double[neuronCount]; |
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| 22 | } |
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| 23 | |
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| 24 | |
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| 25 | public override string Identification |
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| 26 | { |
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| 27 | get |
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| 28 | { |
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| 29 | return String.Format("Hebb2 Layer #{0}", this.UID); |
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| 30 | } |
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| 31 | } |
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| 32 | |
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| 33 | public virtual double Inertia |
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| 34 | { |
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| 35 | get |
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| 36 | { |
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| 37 | return 0.02; |
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| 38 | } |
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| 39 | } |
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| 40 | |
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| 41 | public virtual double OutputDecay |
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| 42 | { |
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| 43 | get |
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| 44 | { |
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| 45 | return 0.85; |
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| 46 | } |
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| 47 | } |
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| 48 | |
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| 49 | protected abstract double WeightModificationKernel(double weight, double input, double output); |
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| 50 | |
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| 51 | |
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| 52 | public virtual bool HasNormalizedWeights |
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| 53 | { |
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| 54 | get |
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| 55 | { |
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| 56 | return false; |
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| 57 | } |
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| 58 | } |
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| 59 | |
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| 60 | public virtual bool HasNormalizedInputs |
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| 61 | { |
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| 62 | get |
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| 63 | { |
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| 64 | return false; |
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| 65 | } |
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| 66 | } |
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| 67 | |
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| 68 | |
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| 69 | |
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| 70 | public override void ApplyInputs(double[] inputs) |
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| 71 | { |
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| 72 | lock (SyncRoot) |
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| 73 | { |
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| 74 | if (inputs == null) |
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| 75 | throw new ArgumentNullException(); |
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| 76 | |
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| 77 | if (inputs.Length != this.Count) |
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| 78 | throw new ArgumentException("Invalid input size. Expected: ", this.Count.ToString()); |
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| 79 | |
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| 80 | for (int i = 0; i < this.Count; i++) |
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| 81 | __potentials[i] += inputs[i]; |
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| 82 | } |
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| 83 | |
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| 84 | if(HasNormalizedInputs) |
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| 85 | NormalizePotentials(2.0); |
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| 86 | |
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| 87 | base.ApplyInputs(inputs); |
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| 88 | } |
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| 89 | |
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| 90 | |
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| 91 | public override void Propagate() |
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| 92 | { |
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| 93 | // calculate outputs |
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| 94 | for (int i = 0; i < this.Count; i++) |
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| 95 | { |
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| 96 | __intermediaryOutputs[i] = 0.0; |
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| 97 | for (int j = 0; j < this.Count; j++) |
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| 98 | if ((i != j) && !double.IsNaN(__weights[j, i])) |
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| 99 | __intermediaryOutputs[i] += __weights[j, i] * __potentials[j]; |
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| 100 | __intermediaryOutputs[i] = __activation(__intermediaryOutputs[i]); |
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| 101 | } |
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| 102 | |
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| 103 | if (HasNormalizedInputs) |
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| 104 | { |
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| 105 | double[] temp = __potentials; |
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| 106 | __potentials = __intermediaryOutputs; |
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| 107 | NormalizePotentials(2.0); |
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| 108 | __potentials = temp; |
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| 109 | } |
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| 110 | |
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| 111 | // update weights and lock outputs |
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| 112 | lock (SyncRoot) |
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| 113 | { |
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| 114 | for (int i = 0; i < this.Count; i++) |
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| 115 | for (int j = 0; j < this.Count; j++) |
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| 116 | { |
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| 117 | if ((i == j) || double.IsNaN(__weights[i, j])) |
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| 118 | continue; |
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| 119 | |
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| 120 | __weights[i,j] = WeightModificationKernel(__weights[i, j], __potentials[i], __intermediaryOutputs[j]); |
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| 121 | |
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| 122 | |
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| 123 | System.Diagnostics.Debug.Assert(!double.IsNaN(__weights[i, j])); |
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| 124 | System.Diagnostics.Debug.Assert(!double.IsInfinity(__weights[i, j])); |
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| 125 | |
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| 126 | |
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| 127 | |
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| 128 | } |
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| 129 | |
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| 130 | if(HasNormalizedWeights) |
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| 131 | NormalizeWeights(2.0); |
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| 132 | |
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| 133 | for (int i = 0; i < this.Count; i++) |
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| 134 | __potentials[i] = __intermediaryOutputs[i] * OutputDecay; |
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| 135 | } |
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| 136 | |
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| 137 | base.Propagate(); |
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| 138 | } |
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| 139 | |
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| 140 | public override void Initialize(Func<int, int, double> initializerWeights, Func<int, double> initializerPotentials) |
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| 141 | { |
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| 142 | base.Initialize(initializerWeights, initializerPotentials); |
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| 143 | if(HasNormalizedInputs) |
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| 144 | NormalizePotentials(2.0); |
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| 145 | |
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| 146 | if (HasNormalizedWeights) |
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| 147 | NormalizeWeights(2.0); |
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| 148 | } |
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| 149 | } |
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| 150 | |
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| 151 | #endregion |
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| 152 | |
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| 153 | // 0->0 (--), 1->0 (+), 1->1 (++), 0->1 (-) |
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| 154 | #region Model 01 |
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| 155 | public class Model01 : SynchronousHebbian2Network |
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| 156 | { |
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| 157 | const double EXC_THRESHOLD = 0.5; |
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| 158 | const double MEMORY_CONSTANT = 2.5; |
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| 159 | public Model01(int neuronCount, int newID) |
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| 160 | : base(neuronCount, newID) |
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| 161 | { |
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| 162 | } |
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| 163 | |
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| 164 | protected override double WeightModificationKernel(double weight, double input, double output) |
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| 165 | { |
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| 166 | double unpacked = __activation_inverse(weight); |
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| 167 | unpacked += Math.Sign(input - EXC_THRESHOLD)*Math.Pow(Math.Abs(input - EXC_THRESHOLD), MEMORY_CONSTANT) * (1 - Math.Abs(input - output)) * Inertia; |
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| 168 | unpacked = __activation(unpacked); |
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| 169 | |
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| 170 | |
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| 171 | |
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| 172 | return unpacked; |
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| 173 | } |
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| 174 | |
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| 175 | public override double Inertia |
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| 176 | { |
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| 177 | get |
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| 178 | { |
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| 179 | return 0.02; |
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| 180 | } |
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| 181 | } |
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| 182 | } |
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| 183 | #endregion |
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| 184 | } |
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