Classification of cancer cells using neural neural networks in combination with expert experience

This paper briefly reviews sorre neural networks and discusses their drawbacks, the main defaults is that these neural networks do not use expert experience (or knowledge) and have the human flexibility, therefore, a new better method for the combination of neural networks with expert experience (or knowledge) was proposed. Probabilistic neural networks (PNNs) classification of cancer cell image is described. This networks is simpler and faster than back-propagating neural networks (BPNNs) during training and learning. Neural networks combined with expert experience is presented in order to improve the classification accuracy of the networks and the simulation experiments were performed and the results have shown that the method presented is very efficient and feasible.