Applying PPC Model Based on RAGA in Evaluating Soil Quantity Variation
Wang Zhi · 2002
It is applied that a new technique of falling dimension named projection pursuit to soil study, through using the improved real coding based accelerating genetic algorithm to optimize the projection direction. Thus, it can transfer multi dimension data into one dimension data, through searching for the optimum projection direction to realize the soil classification and its grade evaluation.The method can avoid the artificial disturb, and acquire preferably effect. Thus, the paper provides a new method to the research of soil classification and grade evaluation.