The phrase "exact prediction" is correct and can be used in written English.
It refers to a prediction that is precise and accurate. Example: The scientist's exact prediction of the path of the hurricane helped the residents prepare and evacuate in time.
Due to the complex chemistry of peptide fragmentation, the pattern of peaks in such a spectrum can be predicted only qualitatively: an exact prediction of spectrum peak heights, or even which peaks will be present or absent, has proven elusive (Dancik et al., 1999; Elias et al., 2004; Wan and Chen, 2005; Zhang, 2004).
In particular, since a large deformation of RC beams is induced from the ductile behavior of reinforcing steel after yielding, an exact prediction of the post-peak displacement history may depend on the exactness in defining the unloading and reloading behavior of reinforcing steel.
So, still a modelling method is needed which allows exact prediction of strength and stiffness.
Our method yields filters that perform exact prediction and differentiation even with short coefficient word lengths.
However, the exact prediction of cutting forces in micro-end-milling is still not fully developed.
In recent years a multitude of models has been published concerned with the exact prediction of aqueous solubility.
With advanced brain imaging scans showing in colours the activity of different parts of the brain, we can make more exact predictions on the brain functions.
The problem is that when you put a few electrons together and throw in a sprinkle of neutrons and protons, the system that emerges rapidly becomes so complex that exact predictions are impossible.
The results from those experiments confirm the exact predictions of the Kobayashi and Maskawa "mechanism" to within a few percent.
The spherical method yields exact predictions of false positive probabilities under the assumption that random vectors are drawn from a radially symmetric distribution.
The results are compared to available exact predictions, and shown to be accurate for moderate values of qa (5% accuracy for qa≤1.5) with just two terms.
