Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The time series prediction and forecasting is an important area in the field of Machine Learning. Around ten years ago, a kind of Multilayer Neural Network was introduced under the name of Flexible Neural Tree (FNT). This model uses meta-heuristic techniques to deter- minate its topology and its embedded parameters. The FNT model has been successfully employed on time-series modeling and temporal learn- ing tasks. The activation function used in the FNT belongs to the family of radial basis functions. It is a parametric function and the parameters are set employing an heuristic procedure. In this article,  analyze the impact on the performance of the FNT model when it used other fam- ily of neuron activation functions. For that,  use the hyperbolic tan- gent and Fermi activation functions on the tree nodes. Both functions have been extensively used in the field of Neural Networks. Moreover,  study the FNT technique with a linear variant of the Fermi function.  present an experimental comparison of our approaches on two widely used time-series benchmarks.
['Tomas Burianek', 'Sebastián Basterrech']
I am writing a research paper on a idea Performance Analysis of the Activation Neuron Function in the Flexible Neural Tree Model
[{"from": "human", "value": "I am writing a research paper on a idea Performance Analysis of the Activation Neuron Function in the Flexible Neural Tree Model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The time series prediction and forecasting is an important area in the field of Machine Learning. Around ten years ago, a kind of Multilayer Neural Network was introduced under the name of Flexible Neural Tree (FNT). This model uses meta-heuristic techniques to deter- minate its topology and its embedded parameters. The FNT model has been successfully employed on time-series modeling and temporal learn- ing tasks. The activation function used in the FNT belongs to the family of radial basis functions. It is a parametric function and the parameters are set employing an heuristic procedure. In this article,  analyze the impact on the performance of the FNT model when it used other fam- ily of neuron activation functions. For that,  use the hyperbolic tan- gent and Fermi activation functions on the tree nodes. Both functions have been extensively used in the field of Neural Networks. Moreover,  study the FNT technique with a linear variant of the Fermi function.  present an experimental comparison of our approaches on two widely used time-series benchmarks."}]