Intro
Preface
Contents
1 The Importance of Agricultural and Meteorological Predictions Using Machine Learning Models
1.1 Introduction
1.2 The Necessity of Meteorological Variables Prediction
1.3 The Necessity of Agricultural Factors Prediction
1.4 Conclusion
References
2 Structure of Particle Swarm Optimization (PSO)
2.1 Introduction
2.2 Structure of Particle Swarm Optimization
2.3 The Application of PSO in Meteorological Field
2.4 The Application of PSO in Agricultural Studies
2.5 The Application of PSO in Other Related Studies
2.6 Conclusion

5.3 Structure of Henry Gas Solubility
References
6 Structure of Crow Optimization Algorithm
6.1 Introduction
6.2 The Application of the COA
6.3 Mathematical Model of COA
References
7 Structure of Salp Swarm Algorithm
7.1 Introduction
7.2 The Application of the Salp Swarm Algorithm in Different Fields
7.3 Structure of Salp Swarm Algorithm
References
8 Structure of Dragonfly Optimization Algorithm
8.1 Introduction
8.2 Application of Dragonfly Optimization Algorithm
8.3 Structure of Dragonfly Optimization Algorithm
References

9 Rat Swarm Optimization Algorithm
9.1 Introduction
9.2 Applications of Rat Swarm Algorithm
9.3 Structure of Rat Swarm Optimization Algorithms
References
10 Antlion Optimization Algorithm
10.1 Introduction
10.2 Mathematical Model of ALO
10.3 Mathematical Model of ALO
References
11 Predicting Evaporation Using Optimized Multilayer Perceptron
11.1 Introduction
11.2 Review of the Previous Works
11.3 Structure of MULP Models
11.4 Hybrid MULP Models
11.5 Case Study
11.6 Results and Discussion
11.6.1 Choice of Random Parameters

11.6.2 Investigation the Accuracy of Models
11.6.3 Discussion
11.7 Conclusion
References
12 Predicting Rainfall Using Inclusive Multiple Model and Radial Basis Function Neural Network
12.1 Introduction
12.2 Structure of Radial Basis Function Neural Network (RABFN)
12.3 RABFN Models
12.4 Structure of Inclusive Multiple Model
12.5 Case Study
12.6 Results and Discussion
12.6.1 Choice of Random Parameters
12.6.2 Investigation the Accuracy of Models
12.6.3 Discussion
12.7 Conclusion
References