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In terms of scientific method, several nonlinear machine learning based models, namely, feedforward neural network (FFNN), radial basis neural network (RBNN), general regression neural network (GRNN), support vector machine (SVM), and tree regression fitting model (TREE), are used to predict and solve engineering problem [17]. Moayedi et al. aimed to optimize adaptive neuro-fuzzy inference system (ANFIS) with two optimization algorithms, namely, genetic algorithm (GA) and particle swarm optimization (PSO), for prediction of engineering problems, which is a new way to handle optimization of complex mathematical model [18]
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3. I am a Registered Professional Engineer in the state of Wyoming (#4857) and the state of Montana (#11475). I am licensed as a Professional Engineer in the Province of Ontario (Reg. #100139998). I have been a member of the Society for Mining, Metallurgy, and Exploration (SME) since 1975, and a Registered Member (RM#1825610) since May 2006. I have worked as a mining engineer for a total of 37 years since my graduation. My relevant experience for the purpose of the Technical Report is:
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v Plant, equipment or machinery which is used exclusively for mining purposes on a registered mining location as defined in the mines and minerals act as the minister may approve, in consultation with the minister responsible for mines and minerals
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