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This paper proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robot arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximum pre-defined torque, without collision with any obstacle in the robot workspace. Quadrinomial and quintic(More)
In this paper, the design and implementation of an effective neural network model for turning process identification as well as a neural network controller to track a desired vibration level of the turning machine is as an example of using the neural network for manufacturing process control. Multi – Layer Perceptron (MLP) neural network architecture with(More)
The statistical and soft computing methods have been used to predict time series data from different fields. The different methods have been applied on same or different time series data. One method has been selected among the applied methods based error analysis. In this paper, an algorithm has been proposed to forecast the time series data based on(More)
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