Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A novel generalized theoretical result is presented that underpins the development of globally convergent first-order batch training algorithms which employ local learning rates. This result allows us to equip algorithms of this class with a strategy for adapting the overall direction of search to a descent one. In this way, a decrease of the batch-error measure at each training iteration is ensured, and convergence of the sequence of ight iterates to a local minimizer of the batch error function is obtained from remote initial ights. The effectiveness of the theoretical result is illustrated in three application examples by comparing two ll-known training algorithms with local learning rates to their globally convergent modifications.
['George D. Magoulas', 'Vassilis P. Plagianakos', 'Michael N. Vrahatis']
I am writing a research paper on a idea Globally convergent algorithms with local learning rates
[{"from": "human", "value": "I am writing a research paper on a idea Globally convergent algorithms with local learning rates"}, {"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 generalized theoretical result is presented that underpins the development of globally convergent first-order batch training algorithms which employ local learning rates. This result allows us to equip algorithms of this class with a strategy for adapting the overall direction of search to a descent one. In this way, a decrease of the batch-error measure at each training iteration is ensured, and convergence of the sequence of ight iterates to a local minimizer of the batch error function is obtained from remote initial ights. The effectiveness of the theoretical result is illustrated in three application examples by comparing two ll-known training algorithms with local learning rates to their globally convergent modifications."}]