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Journal Articles
- 2011
[j3]Akira Imada:
Is Artificial Neural Network Intelligent? Int. J. Comput. 10(1): 66-76 (2011)- 2006
- [j2]Akira Imada:
How Many Parachutists will be Necessary to Find a needle in a pastoral - who is a Lucky One? Int. J. Comput. 5(3): 126-134 (2006) - 2004
- [j1]Akira Imada:
How a peak can be Searched for in an Almost everywhere Flatland of Altitude Zero? - Tiny flat Island in Huge Lake. Int. J. Comput. 3(1): 32-37 (2004)
Conference and Workshop Papers
- 2014
- [c17]Akira Imada:
What Is Machine Intelligence? A Case Study: Stock Market Forecasting Agents. ACS 2014: 3-10 - 2007
- [c16]Akira Imada:
Finding a Needle in a Haystack: From Baldwin Effect to Quantum Computation. CISIM 2007: 20-25 - 2005
- [c15]Akira Imada:
Can a Fuzzy Rule Extraction Find an Extremely Tiny non-Self Region? ANNIIP 2005: 35-41 - [c14]Akira Imada:
Can a Fuzzy Rule Look for a Needle in a Haystack? TAINN 2005: 133-140 - 1999
- [c13]Akira Imada:
Downhill walk from the top of a hill by evolutionary programming. CEC 1999: 1414-1418 - [c12]Akira Imada:
What Does a Peak in the Landscape of a Hopfield Associative Memory Look Like ? IWANN (1) 1999: 357-366 - 1998
- [c11]Akira Imada, Keijiro Araki:
What does the Landscape of a Hopfield Associative Memory Look Like? Evolutionary Programming 1998: 647-656 - [c10]Akira Imada, Keijiro Araki:
Explorations of fitness landscapes of a Hopfield associative memory with random and evolutionary walks. KES (2) 1998: 364-369 - [c9]Akira Imada, Keijiro Araki:
How Real-valued Random Synapses Evolve Toward Symmetry with Diploid Chromosomes? NC 1998: 164-169 - [c8]Akira Imada, Keijiro Araki:
Can a Niching Method Locate Multiple Attractors Embedded in the Hopfield Network? SEAL 1998: 325-332 - 1997
- [c7]Akira Imada, Keijiro Araki:
Searching Real-Valued Synaptic Weights of Hopfield's Associative Memory Using Evolutionary Programming. Evolutionary Programming 1997: 13-22 - [c6]Akira Imada, Keijiro Araki:
The Baldwin Effect on the Evolution of Associative Memory. ICANNGA 1997: 354-358 - [c5]Akira Imada, Keijiro Araki:
Evolution of Hopfield Model of Associative Memory by the Breeder Genetic Algorithm. ICGA 1997: 784-791 - [c4]Akira Imada, Keijiro Araki:
Evolution of Random Synaptic Weights of the Hopfield Associative Memory: How Chaotic Trajectories Turn into Fixed Point Attractors? ICONIP (1) 1997: 452-455 - [c3]Akira Imada, Keijiro Araki:
Random Perturbations to Hebbian Synapses of Associative Memory Using a Genetic Algorithm. IWANN 1997: 398-407 - 1996
- [c2]Akira Imada, Keijiro Araki:
Lamarckian Evolution of Associative Memory. International Conference on Evolutionary Computation 1996: 676-680 - 1995
- [c1]Akira Imada, Keijiro Araki:
Genetic Algorithm Enlarges the Capacity of Associative Memory. ICGA 1995: 413-420
Parts in Books or Collections
- 2013
- [p4]Wieslaw Pietruszkiewicz, Akira Imada:
Artificial Intelligence Evolved from Random Behaviour: Departure from the State of the Art. Artificial Intelligence, Evolutionary Computing and Metaheuristics 2013: 19-41 - 2007
- [p3]Akira Imada:
When a Family of Iris Flower is Normal, Then are Others Abnormal? Advances in Information Processing and Protection 2007: 205-214 - 2006
- [p2]Akira Imada:
Can a Negative Selection Detect an Extremely few Non-self among Enormous Amount of Self Cells? Biometrics, Computer Security Systems and Artificial Intelligence Applications 2006: 217-226 - 2005
- [p1]Akira Imada:
A Tiny Flat-island in a Huge Lake - How can we search for it if completely flatland elsewhere? Information Processing and Security Systems 2005: 353-364
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