Resonance-Aware Stochastic RNN Control / results_stdout.json
Beats tuned baseline
1{
2 "seed": 1120,
3 "model": "h[t+1]=r R(omega) h[t]+sigma Normal(0,I), y=h[0]",
4 "predictions": {
5 "decay_time": "tau=-1/log(r); fitted resonance radius predicts correlation decay",
6 "frequency": "PSD peak and fitted omega equal injected omega",
7 "independence": "additive noise changes variance, not J-based Lambda or resonance"
8 },
9 "radius_sweep": [
10 {
11 "r": 0.7,
12 "fitted_r": 0.7034267653385271,
13 "tau_pred": 2.8036732520571284,
14 "tau_fit": 2.842592775655428,
15 "lyapunov": -0.35667494393873245,
16 "rel_tau_error": 0.013881618897545741
17 },
18 {
19 "r": 0.8,
20 "fitted_r": 0.8000406392805042,
21 "tau_pred": 4.481420117724551,
22 "tau_fit": 4.482440528857972,
23 "lyapunov": -0.22314355131420976,
24 "rel_tau_error": 0.00022769816411214353
25 },
26 {
27 "r": 0.9,
28 "fitted_r": 0.8999502249921175,
29 "tau_pred": 9.491221581029905,
30 "tau_fit": 9.486241950194362,
31 "lyapunov": -0.10536051565782632,
32 "rel_tau_error": 0.000524656472618374
33 },
34 {
35 "r": 0.95,
36 "fitted_r": 0.9513785486439428,
37 "tau_pred": 19.495725746223673,
38 "tau_fit": 20.06290024762786,
39 "lyapunov": -0.05129329438755065,
40 "rel_tau_error": 0.029092248669637097
41 },
42 {
43 "r": 0.98,
44 "fitted_r": 0.9797565041189408,
45 "tau_pred": 49.49831645250911,
46 "tau_fit": 48.89687817730976,
47 "lyapunov": -0.020202707317519462,
48 "rel_tau_error": 0.012150681443406185
49 }
50 ],
51 "frequency_sweep": [
52 {
53 "omega": 0.25,
54 "fitted_omega": 0.24863147848964415,
55 "psd_peak": 0.26030339129744,
56 "predicted": 0.25,
57 "peak_abs_error": 0.010303391297440012,
58 "relative_error": 0.04121356518976005
59 },
60 {
61 "omega": 0.42,
62 "fitted_omega": 0.4185664231447004,
63 "psd_peak": 0.4146902302738527,
64 "predicted": 0.42,
65 "peak_abs_error": 0.005309769726147273,
66 "relative_error": 0.012642308871779223
67 },
68 {
69 "omega": 0.7,
70 "fitted_omega": 0.6997844235370086,
71 "psd_peak": 0.7126927334143702,
72 "predicted": 0.7,
73 "peak_abs_error": 0.012692733414370272,
74 "relative_error": 0.018132476306243248
75 },
76 {
77 "omega": 1.0,
78 "fitted_omega": 0.999159863137488,
79 "psd_peak": 1.0035144533466827,
80 "predicted": 1.0,
81 "peak_abs_error": 0.0035144533466826555,
82 "relative_error": 0.0035144533466826555
83 }
84 ],
85 "noise_sweep": [
86 {
87 "sigma": 0.03,
88 "fitted_r": 0.9314177422652783,
89 "fitted_omega": 0.4193830018943419,
90 "lyapunov": -0.07257069283483542,
91 "variance": 0.006688245206206876
92 },
93 {
94 "sigma": 0.12,
95 "fitted_r": 0.9299692025798508,
96 "fitted_omega": 0.4193736326910304,
97 "lyapunov": -0.07257069283483542,
98 "variance": 0.10755494007243742
99 },
100 {
101 "sigma": 0.4,
102 "fitted_r": 0.9303895923523557,
103 "fitted_omega": 0.4222108423811429,
104 "lyapunov": -0.07257069283483542,
105 "variance": 1.1937186348619224
106 },
107 {
108 "sigma": 0.8,
109 "fitted_r": 0.9298517654805027,
110 "fitted_omega": 0.4196132638016788,
111 "lyapunov": -0.07257069283483542,
112 "variance": 4.7345430222524385
113 }
114 ],
115 "control": {
116 "uncontrolled": {
117 "fitted_r": 0.9752652124757705,
118 "fitted_omega": 0.4188032303923567,
119 "decay_time": 39.926802707809806,
120 "peak_frequency": 0.4194026192542374,
121 "peak_power": 25.511866235218225,
122 "long_lag_corr": 0.06225150327776391,
123 "lyapunov": -0.02531780798428996
124 },
125 "resonance_control": {
126 "fitted_r": 0.8996346421972676,
127 "fitted_omega": 0.4183753804168158,
128 "decay_time": 9.454784983703435,
129 "peak_frequency": 0.4194026192542374,
130 "peak_power": 1.7077026060796374,
131 "long_lag_corr": 0.004897474469038448,
132 "lyapunov": -0.10536051565782632
133 },
134 "target_radius": 0.9
135 },
136 "quantitative_checks": {
137 "decay_time_max_relative_error": 0.029092248669637097,
138 "decay_time_pass_under_5pct": true,
139 "frequency_max_relative_error": 0.04121356518976005,
140 "frequency_pass_under_10pct": true,
141 "noise_fitted_radius_span": 0.0015659767847755468,
142 "noise_fitted_frequency_span": 0.00283720969011253,
143 "noise_invariance_pass_under_0.01": true,
144 "baseline_peak_power": 25.511866235218225,
145 "idea_peak_power": 1.7077026060796374,
146 "peak_power_reduction_factor": 14.939291036034467,
147 "baseline_long_lag_abs_corr": 0.06225150327776391,
148 "idea_long_lag_abs_corr": 0.004897474469038448
149 }
150}