The phrase "fast learning ability" is correct and usable in written English.
You can use it whenever you are trying to describe someone who is able to learn quickly. For example, "He has a fast learning ability that has allowed him to excel in his studies."
Conversely, it may be a secondary effect of potentially increased neuronal activity that may accompany fast learning abilities.
With each correctly classified test sequence, the fast incremental learning ability of the proposed method further enhances the training model.
The proposed method as the combination of the recursive least square and feedforward neural network obtains four advantages over the alone algorithms: it requires less number of regressors, it is fast, it has the learning ability, and it is more compact.
On the other hand, ANN due to its fast and parallel processing and also, learning ability for obtaining the expansion patterns, have been used.
Learning ability includes a substantial cognitive component but also the motivation to pick up new knowledge and skills fast and flexibly.
Recently the ELM algorithm has been increasingly popular in classification tasks due to its high generalization ability and fast learning speed.
Consequently, ELM is used, which has been demonstrated to have impressive performance in regression and classification tasks due to its high generalization ability and fast learning speed.
Thus, fast learning rates increase the efficiency of learning from errors, which increases the ability to predict an error at the expense of response conflict.
This study presents a cerebellar model articulation controller NN (CMAC NN) classifier, which has the advantages of very fast learning, reasonable generalization ability and robust noise resistance.
