Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In many applications, learning algorithms act in dynamic environments where data flows continuously. In those situations, the learning algorithms should be able to work in real time adjusting its controlling parameters, even its structures, when knowledge arrives. In a previous work, the authors proposed an online learning method for two-layer feedforward neural networks which is able to incorporate new hidden neurons during learning without losing the previously acquired knowledge. ,  present an extension of this previous learning algorithm which includes a mechanism, based on Vapnik-Chervonenkis dimension, to adapt the network topology automatically. The experimental study confirms that the proposed method is able to check whether a modification of the topology is necessary according to the needs of the learning process.
['Beatriz Pérez-Sánchez', 'Oscar Fontenla-Romero', 'Bertha Guijarro-Berdiñas']
I am writing a research paper on a idea Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension
[{"from": "human", "value": "I am writing a research paper on a idea Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In many applications, learning algorithms act in dynamic environments where data flows continuously. In those situations, the learning algorithms should be able to work in real time adjusting its controlling parameters, even its structures, when knowledge arrives. In a previous work, the authors proposed an online learning method for two-layer feedforward neural networks which is able to incorporate new hidden neurons during learning without losing the previously acquired knowledge. ,  present an extension of this previous learning algorithm which includes a mechanism, based on Vapnik-Chervonenkis dimension, to adapt the network topology automatically. The experimental study confirms that the proposed method is able to check whether a modification of the topology is necessary according to the needs of the learning process."}]