Machine Intelligence 14 : Applied Machine Intelligence (1996, Hardcover) by read online TXT
9780198538608 English 019853860X Machine Intelligence 14 contains material presented at the Anglo-Janpanese workshop of Novemver 1993 held at the Hitachi Research Laboratory. It marks the 70th birthday of Donald Michie, the founder of the series. The contents is divided into the following subjects: complex decision taking,inductive logic programming, applied machine learning, dynamic control, and computational learning theory. Applications include controlling a steel mill, discovery of protein structural constraints, and qualitative control for dynamic systems., The 14th volume in a classic series in machine intelligence, Machine Intelligence 14 contains material presented at an Anglo-Japanese workshop. This book marks the 70th birthday of Donald Michie, the founder of the series. The subjects covered are complex decision taking, inductive logicprogramming, applied machine learning, dynamic control, and computational learning theory. Applications include controlling a steel mill, discovery of protein structural constraints, and qualitative control for dynamic systems.
9780198538608 English 019853860X Machine Intelligence 14 contains material presented at the Anglo-Janpanese workshop of Novemver 1993 held at the Hitachi Research Laboratory. It marks the 70th birthday of Donald Michie, the founder of the series. The contents is divided into the following subjects: complex decision taking,inductive logic programming, applied machine learning, dynamic control, and computational learning theory. Applications include controlling a steel mill, discovery of protein structural constraints, and qualitative control for dynamic systems., The 14th volume in a classic series in machine intelligence, Machine Intelligence 14 contains material presented at an Anglo-Japanese workshop. This book marks the 70th birthday of Donald Michie, the founder of the series. The subjects covered are complex decision taking, inductive logicprogramming, applied machine learning, dynamic control, and computational learning theory. Applications include controlling a steel mill, discovery of protein structural constraints, and qualitative control for dynamic systems.