การทำนายค่า CBR ของดินโดยการโปรแกรมหลายนิพจน์
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California Bearing Ratio (CBR) เป็นการทดลองที่สำคัญในงานด้านโยธา เช่น เขื่อน และผิวทาง เป็นต้น CBR มักจะได้จากการทดลองในห้องปฏิบัติการโดยใช้เวลานาน ค่าใช้จ่ายสูง และขั้นตอนที่ยากซึ่งมีอิทธิพลต่อความก้าวหน้าของโครงการก่อสร้าง ดังนั้นการพัฒนาแบบจำลองได้ใช้การโปรแกรมหลายนิพจน์ (Multi-expression programming, MEP) จำนวน 6 รูปแบบจำลองซึ่งมีตัวแปรป้อนเข้าหลากหลาย แบบจำลอง I เป็นแบบจำลองที่เหมาะสมมากสุดเนื่องจากมีค่าสัมประสิทธิ์การตัดสินใจค่อนข้างสูงในชุดการฝึกฝน และชุดการทดสอบ และเมื่อนำแบบจำลอง MEP ไปเปรียบเทียบกับแบบจำลองการถดถอยเชิงเส้นพหุคูณ (Multiple linear regression, MLR) และโครงข่ายประสาทเทียม (Artificial neural network, ANN) จะพบว่าแบบจำลอง MEP เป็นแบบจำลองที่เหมาะสมมากสุด และแบบจำลอง MEP สามารถถูกนำมาใช้ได้เพราะค่าความเชื่อถือได้มีค่าสูง สมการคณิตศาสตร์ที่ได้จากแบบจำลอง MEP จะนำไปประยุกต์ใช้ในการทำนายค่า CBR สำหรับการออกแบบเบื้องต้นในงานด้านปฐพีเพื่อที่จะลดค่าใช้จ่าย และเวลา
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