资源列表
fortran-in-1D-CA-model
- 一维的元胞自动机模型 一共计算了9代时间点 共有50个点阵-one dimentional cellular automata
Evaluation-of-Two-Segmentation-Methods
- Evaluation of Two Segmentation Methods on MRI Brain Tissue Structures
A-Novel-Statistical-Method
- A Novel Statistical Method for Segmentation of Brain MRI
Fuzzy-classification
- Fuzzy classification of brain MRI using a priori knowledge weighted fuzzy C-means
GA
- 遗传算法的实现, matlab编写的 遗传算法程序，实数编码，-Genetic algorithm implementation, matlab genetic algorithm written procedures, real-coded,
kscup19
- 生物学及材料学中使用原子力显微镜做力曲线的数据处理-Processing the data of the force curve of AFM
R-code
- 用R语言实现对affy芯片、cDNA芯片的处理-With the R language for affy chips, cDNA chip processing
chapter4
- 基于遗传算法的TSP问题，用遗传全局算法处理运算，得出最终的最近路径。-TSP problem based on genetic algorithm, genetic algorithm for handling global operations, has recently come to the end of the path.
bga
- biogeography optimization for economic emission and dispatch
Evaluation-of-an-Integrated-Biomass-Power-Plant.r
- Evaluation of an Integrated Biomass Power Plant
test-function
- 多目标优化遗传算法有效地避免了收敛速度慢和封闭竞争等问题， Pareto前沿更加接近理想前沿，并且收敛速度都非常快-Multi-objective optimization genetic algorithm is effective to avoid the slow convergence rate and close competition and other issues, leading Pareto closer to the ideal cutting edge, and the
FeatureExtractionNode
- Application that extracts features from segments, retrieved from microscope cell images. Each segment represents one cell. Feature vector consists of following features: - cell s area - cell s centroid - cell s weighted centroid - cell s conv