Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A novel hybrid global optimization (GO) algorithm applied for feedforward neural networks (NNs) supervised learning is investigated. The network ights are determined by minimizing the traditional mean square error function. The optimization technique, called LP tau  NM, combines a novel global heuristic search based on LP tau   low-discrepancy sequences of points, and a simplex local search. The proposed method is initially tested on multimodal mathematical functions and subsequently applied for training moderate size NNs for solving popular benchmark problems. Finally, the results are analyzed, discussed, and compared with such as from backpropagation (BP) (Levenberg-Marquardt) and differential evolution methods
['Ivan Jordanov', 'Antoniya Georgieva']
I am writing a research paper on a idea Neural Network Learning With Global Heuristic Search
[{"from": "human", "value": "I am writing a research paper on a idea Neural Network Learning With Global Heuristic Search"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A novel hybrid global optimization (GO) algorithm applied for feedforward neural networks (NNs) supervised learning is investigated. The network ights are determined by minimizing the traditional mean square error function. The optimization technique, called LP tau  NM, combines a novel global heuristic search based on LP tau   low-discrepancy sequences of points, and a simplex local search. The proposed method is initially tested on multimodal mathematical functions and subsequently applied for training moderate size NNs for solving popular benchmark problems. Finally, the results are analyzed, discussed, and compared with such as from backpropagation (BP) (Levenberg-Marquardt) and differential evolution methods"}]