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中文摘要：
尝试将支持向机算法应用于房地产需求量预测。该算法能针对在样本有限的情况下,采用结构风险最小化准则,把学习问题转化为一个二次规划问题来获得最优解。预测结果利用可信度p0、关联度R、后验差比值C和小误差概率p等项指标检验,证实了所建模型是可靠的,可行的。
英文摘要：
The paper tried to apply the Support Vector Machine（ SVM ） to the forecast of the demands of real estate. The method can transfer the learning problem into a second planning to acquire the optimal solution according to the principle of structure risk minimum under limited samples situation.From the tested results calculated by some indexes, such as reliability p^0, association degree R, correlative value of posterior error C and micro-error probability p, the model was proved to be reliable and feasible in the forecast of the demands of real estate.
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