Three ceramic materials including two aluminas and one silicon nitride were ground under various creep feed conditions. Flexural strengths of the ground specimens were measured by four-point bending. The experimental data indicates a general flexural strength pattern consisted of three regimes as a function of mean unit load and grit depth of cut (or mean chip cross-sectional area). Defining ductile-brittle transition as the point where strength starts to degrade, it is found that the transition occurs at higher mean unit load, grit depth of cut, or mean chip cross-sectional area for the lower strength material. The percentage of fractured area is found not to be a good indicator of strength for alumina materials. The multi-layer perceptron (MLP) neural network is proposed to establish the strength model. The general form of the MLP-based strength models as well as the fitted parameters are given. The implications of the study are discussed with respect to past studies.