Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties
Abstract Globally, the provision of energy is becoming an absolute necessity. Biomass resources are abundant and have been described as a potential alternative source of energy. However, it is important to assess the fuel characteristics of the various available biomass sources. Soft computing techn...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
SpringerOpen
2020-11-01
|
| سلاسل: | Bioresources and Bioprocessing |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1186/s40643-020-00350-6 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|