Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  apply active exemplar selection (Plutowski & White, 1991; 1993) to predicting a chaotic time series. Given a fixed set of examples, the method chooses a concise subset for training. Fitting these exemplars results in the entire set being fit as ll as desired. The algorithm incorporates a method for regulating network complexity, automatically adding exemplars and hidden units as needed. Fitting examples generated from the Mackey-Glass equation with fractal dimension 2.1 to an rmse of 0.01 required about 25 exemplars and 3 to 6 hidden units. The method requires an order of magnitude fer floating point operations than training on the entire set of examples, is significantly cheaper than two contending exemplar selection techniques, and suggests a simpler active selection technique that performs comparably.
['Mark Plutowski', 'Garrison W. Cottrell', 'Halbert White']
I am writing a research paper on a idea Learning Mackey-Glass from 25 examples, Plus or Minus 2
[{"from": "human", "value": "I am writing a research paper on a idea Learning Mackey-Glass from 25 examples, Plus or Minus 2"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  apply active exemplar selection (Plutowski & White, 1991; 1993) to predicting a chaotic time series. Given a fixed set of examples, the method chooses a concise subset for training. Fitting these exemplars results in the entire set being fit as ll as desired. The algorithm incorporates a method for regulating network complexity, automatically adding exemplars and hidden units as needed. Fitting examples generated from the Mackey-Glass equation with fractal dimension 2.1 to an rmse of 0.01 required about 25 exemplars and 3 to 6 hidden units. The method requires an order of magnitude fer floating point operations than training on the entire set of examples, is significantly cheaper than two contending exemplar selection techniques, and suggests a simpler active selection technique that performs comparably."}]