| The Experiment of Sweden Game and the Evaluations of Gaming Result. | 0 | 0.34 | 2015 |
| A New Trial for Constructing A Reliable Decision Support System Utilizing Learning Automata and Soft Computing Techniques. | 0 | 0.34 | 2013 |
| The Experiment of Sweden Game and the Effect of Students Education. | 0 | 0.34 | 2012 |
| Utilization of Soft Computing Techniques for Making COMMONS GAME Much More Exciting. | 0 | 0.34 | 2012 |
| An effective utilization of many neural networks for improving the traditional technical analysis in the stock market | 0 | 0.34 | 2011 |
| Intelligent planning based on multi-resolution map for simultaneous localization and mapping. | 2 | 0.42 | 2011 |
| Utilization of evolutionary algorithms for making COMMONS GAME much more exciting | 1 | 0.36 | 2010 |
| Extended morphological processing: a practical method for automatic spot detection of biological markers from microscopic images. | 13 | 0.45 | 2010 |
| Effective Utilization of Neural Networks for Constructing an Intelligent Decision Support System for Dealing Stocks | 0 | 0.34 | 2009 |
| Utilization of Soft Computing Techniques for Making Environmental Games More Exciting ---Toward an Effective Utilization of the COMMONS GAME | 2 | 0.54 | 2008 |
| A consideration on the learning performances of the hierarchical structure learning automata (HSLA) operating in the general nonstationary multiteacher environment | 0 | 0.34 | 2007 |
| Prediction of Golden Cross and Dead Cross by Neural Networks and Its Utilization | 2 | 0.47 | 2007 |
| Utilization of NNs for improving the traditional technical analysis in the financial markets | 1 | 0.40 | 2006 |
| A relative reward-strength algorithm for the hierarchical structure learning automata operating in the general nonstationary multiteacher environment. | 3 | 0.45 | 2006 |
| Learning behaviors of the hierarchical structure stochastic automata | 0 | 0.34 | 2005 |
| An intelligent utilization of neural networks for improving the traditional technical analysis in the stock markets | 5 | 0.71 | 2005 |
| A New Learning Algorithm for the Hierarchical Structure Learning Automata Operating in the General Multiteacher Environment. | 0 | 0.34 | 2004 |
| A New Trial for Improving the Traditional Technical Analysis in the Stock Markets | 1 | 0.49 | 2004 |
| A New Learning Algorithm For The Hierarchical Structure Learning Automata Operating In The General Multiteacher Environment | 0 | 0.34 | 2004 |
| A Consideration on the Learning Behaviors of the HSLA Under the Nonstationary Multiteacher Environment and Their Application to Simulation and Gaming | 2 | 0.40 | 2004 |
| Utilization of AI & GAs to Improve the Traditional Technical Analysis in the Financial Markets | 1 | 0.55 | 2003 |
| A New Learning Algorithm for the Hierarchical Structure Learning Automata Operating in the General Nonstationary Multiteacher Environment | 0 | 0.34 | 2003 |
| A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environment | 0 | 0.34 | 2002 |
| Utilization of artificial neural networks and the TD-learning method for constructing intelligent decision support systems | 9 | 1.30 | 2000 |
| Utilization of Neural Networks & GAs for Constructing Reliable Decision Support Systems to Deal Stocks | 17 | 1.36 | 2000 |
| Utilization of GAs in order to let a player on the computer side have enough intelligence | 0 | 0.34 | 1999 |
| Application of soft computing techniques for dealing Tokyo stock exchange prices indexes (TOPIX) | 0 | 0.34 | 1999 |
| Application of independent component analysis to handwritten Japanese character recognition | 1 | 0.37 | 1999 |
| Utilization of GAs in order to make game playing much more exciting | 1 | 0.40 | 1999 |
| Application of techniques of computational intelligence for constructing reliable decision support systems | 0 | 0.34 | 1999 |
| A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics | 0 | 0.34 | 1999 |
| Evolution of a dynamical modular neural network and its application to associative memories | 0 | 0.34 | 1999 |
| Application of temporal difference learning method to computer gaming | 0 | 0.34 | 1998 |
| TD Learning with Neural Networks. | 0 | 0.34 | 1998 |
| Design Of Modular Neural Network Architectures Using Genetic Algorithms | 0 | 0.34 | 1998 |
| An artificial modular neural network and its basic dynamical characteristics | 6 | 0.84 | 1998 |
| A consideration on the learning algorithm of neural network-utilization of the hierarchical structure stochastic automata for the backpropagation method with momentum | 1 | 0.43 | 1998 |
| Utilization of hierarchical structure stochastic automata for the back propagation method with momentum | 1 | 0.43 | 1995 |
| A hybrid algorithm for finding the global minimum of error function of neural networks and its applications | 26 | 4.14 | 1994 |
| Collision Avoidance Planning of a Robot Manipulator by Using Genetic Algorithm - A Consideration for the Problem in Which Moving Obstacles and/or Several Robots are Included in the Workspace | 7 | 1.50 | 1994 |
| Utilization Of Stochastic Automata And Genetic Algorithms For Neural Network Learning | 2 | 0.87 | 1992 |
| Intelligent collision avoidance planning of a robot manipulator whose workspace includes moving objects | 1 | 0.76 | 1989 |
| An Intelligent Collision Avoidance Planning Of A Robot Manipulator Whose Workspace Incl udes Moving Objects | 0 | 0.34 | 1988 |
| Learning Behaviors Of Hierarchical Structure Stochastic Automata Operating In A General Multiteacher Environment | 4 | 0.49 | 1985 |
| On The Learning Behaviors Of Variable-Structure Stochastic Automaton In The General N-Teacher Environment | 3 | 0.51 | 1983 |
| Least cost testing sequence problem with unknown rejecting probabilities | 0 | 0.34 | 1977 |
| A modified convergence theorem for a random optimization method | 11 | 41.52 | 1977 |
| On the Learning Behavior of Stochastic Automata Under a Nonstationary Random Environment. | 7 | 0.70 | 1975 |
| Learning behavior of stochastic automata in the last stage of learning | 1 | 0.41 | 1975 |
| Two ε-Optimal Nonlinear Reinforcement Schemes for Stochastic Automata | 3 | 0.90 | 1974 |
