采用径向基神经网络（RBFNN）在MATLAB环境下建立了混煤软化温度的智能预测模型。
Through the use of a radial-based function neural network(RBFNN) an intelligent forecasting model for the blended-coal softening temperature was set up under MATLAB environment.
从某电厂700 MW机组锅炉取混煤灰样，在智能灰熔点测定仪上采用角锥法对其进行软化温度测定。
Samples of blended coal ash were taken from the boiler of a power plant 700mw unit. Their softening temperature was measured by a pyramid method on an intelligent ash-melting point measuring device.
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