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Part One: Background and Fundamentals
Introduction
Literature Survey
Part Two: Modelling for Forging Load and Processes
Process/Shape-Decomposition Modeling for Deformation Force
Online Probabilistic Extreme Learning Machine for Distribution Modeling of Batch Forging Processes
Multi-level Parameter Identification Approach
Multi-Experiment-Data Based SVD/NN Modeling Approach
LS-SVM Modeling Method for a Hydraulic Press Forging Process with Multiple Localized Solutions
Hybrid Model-Set/Data Online Modeling Approach for Time-Varying Forging
Part Three: Dynamic Analysis for Forging Processes
Model-based Dynamic Performance Analysis
Closed-Loop Dynamic Performance Analysis
Part Four: Intelligent Control for Complex Forging Processes
System decomposition based multi-level control
Intelligent integration control for Time-Varying Forging Process
Conclusion.

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