Akira Imada

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Can a Niching Method Locate Multiple Attractors Embedded in the Hopfield Network?

Akira Imada, Keijiro Araki, A. Imada, 1998, SEAL.

Finding a Needle in a Haystack: From Baldwin Effect to Quantum Computation

Akira Imada, A. Imada, 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).

What does the Landscape of a Hopfield Associative Memory Look Like?

Akira Imada, Keijiro Araki, A. Imada, 1998, Evolutionary Programming.

A Genetic Algorithm Creates New Attractors in an Associative Memory Network by Pruning Synapses Adaptively

Akira Imada, Keijiro Araki, 1998 .

IS ARTIFICIAL NEURAL NETWORK INTELLIGENT

Akira Imada, A. Imada, 2011 .

Basin of Attraction of Associative Memory as it Evolves from Random Weights

Akira Imada, Keijiro Araki, 荒木啓二郎, 1996 .

CananImmuno-fuzzy Approach Detect OnlyaFewNon-self Cells Existed inanEnormousAmountofSelf Cells?

Akira Imada, 2005 .

Evolution of Hopfield Model of Associative Memory by the Breeder Genetic Algorithm

Akira Imada, Keijiro Araki, 1997, ICGA.

Kaip sukurti intelektualesnę maršrutų planavimo programą

Akira Imada, 2009 .

Artificial Intelligence Evolved from Random Behaviour: Departure from the State of the Art

Akira Imada, Wieslaw Pietruszkiewicz, A. Imada, 2013, Artificial Intelligence, Evolutionary Computing and Metaheuristics.

Searching Real-Valued Synaptic Weights of Hopfield's Associative Memory Using Evolutionary Programming

Akira Imada, Keijiro Araki, A. Imada, 1997, Evolutionary Programming.

Evolution of learning associative memory

Akira Imada, 1995 .

Exploration in a gridworld which has a cliff

Akira Imada, 2009 .

HOW MANY PARACHUTISTS WILL BE NECESSARY TO FIND A NEEDLE IN A PASTORAL - WHO IS A LUCKY ONE?

Akira Imada, 2014 .

What Is Machine Intelligence? A Case Study: Stock Market Forecasting Agents

Akira Imada, A. Imada, 2014, ACS.

A Literature Review: Forest Management with Neural Network and Artificial Intelligence

Akira Imada, A. Imada, 2014 .

Can a Fuzzy Rule Look for a Needle in a Haystack?

Akira Imada, 2005, TAINN.

Can Artiticial Neural Networks Evolve to be Intelligent Like Human

Akira Imada, 2014 .

When a Family of Iris Flower is Normal, Then are Others Abnormal?

Akira Imada, 2007, Advances in Information Processing and Protection.

What Does a Peak in the Landscape of a Hopfield Associative Memory Look Like ?

Akira Imada, A. Imada, 1999, IWANN.

Fully-Connected Neural Network Model of Associative Memory as a Test Function of Evolutionary Computations

Akira Imada, Keijiro Araki, A. Imada, 1999 .

Mutually Connected Neural Network Can Learn Some Patterns by Means of GA

Akira Imada, Keijiro Araki, 荒木啓二郎, 1995 .

Some Statistical Analyses of Fitness Landscape Created by the Hopfield Model of Associative Memory

Akira Imada, Keijiro Araki, A. Imada, 1998 .

Neural Networks and Artificial Intelligence

Akira Imada, Vladimir Golovko, 2014, Communications in Computer and Information Science.

Random Perturbations to Hebbian Synapses of Associative Memory Using a Genetic Algorithm

Akira Imada, Keijiro Araki, A. Imada, 1997, IWANN.

Application of an evolution strategy to the Hopfield model of associative memory

Akira Imada, Keijiro Araki, A. Imada, 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

Genetic Algorithm Enlarges the Capacity of Associative Memory

Akira Imada, Keijiro Araki, 1995, ICGA.

A Design of Intelligent and Autonomous Public Transportation System by Co-evolution

Akira Imada, 2005 .

Can a Negative Selection Detect an Extremely few Non-self among Enormous Amount of Self Cells?

Akira Imada, 2006, Biometrics, Computer Security Systems and Artificial Intelligence Applications.

Hinton & Nowlan’s computational Baldwin effect revisit: Are we happy with it? Akira Imada

Akira Imada, 2007 .

Lamarckian evolution of associative memory

Akira Imada, Keijiro Araki, A. Imada, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Can a Fuzzy Rule Extraction Find an Extremely Tiny non-Self Region?

Akira Imada, 2005, ANNIIP.

Evolution of Associative Memory with Environmental Change

Akira Imada, Keijiro Araki, 荒木啓二郎, 1996 .

A Tiny Flat-island in a Huge Lake - How can we search for it if completely flatland elsewhere?

Akira Imada, 2005, Information Processing and Security Systems.

How Real-valued Random Synapses Evolve Toward Symmetry with Diploid Chromosomes?

Akira Imada, Keijiro Araki, 1998, NC.

Evolution of a Hop eld Associative Memory by the Breeder Genetic Algorithm

Akira Imada, 1997 .

Basin of Attraction of Associative Memory as it is Evolved by a Genetic Algorithm

Akira Imada, A. Imada, 1996 .