label: url

en: Dynamics of Chaotic Circuit Betworks with Local Bridges

en: NOLTA, IEICE

ja: NOLTA, IEICE


en: CellularFlow: Memristive Circuits of Gyrator Neurons toward Brain Circuits

en: IEEE Journal on Emerging and Selected Topics in Circuits and Systems


en: Effect of Spcial Distancing on COVID-19 Infection Determined by a Multi-Agent Simulation

en: Journal of Signal Processing

ja: Journal of Signal Processing


en: Synchronization of Chaotic Circuits with Stochastically-Coupled Network Topology

en: International Journal of Bifurcation and Chaos


en: Competitive Networks Using Chaotic Circuits with Hierarchical Structure

en: Chaos

ja: Chaos


en: Amplitude Death in Strongly Coupled Polygonal Oscillatory Networks with Sharing Branch

en: IEEE Transactions on Network Science and Engineering


en: Clustering Using Chaotic Circuit Networks with Weighted Couplings

ja: International Journal of Bifurcation and Chaos


en: A Novel Image Fusion Algorithm Using an NSCT and a PCNN with Digital Filtering

en: International Journal of Image and Data Fusion


en: Multi-Layer Perceptron with Pulse Glial Chain

en: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences


en: Multimode Oscillations in Coupled Oscillators with High-Order Nonlinear Characteristics

en: We propose two van der Pol oscillators with high-order nonlinearities coupled with an inductor and investigate various types of multimode oscillations. We confirm that these oscillations are stably excited by numerical calculations, theoretical analyses and circuit experiments. In particular, we aim to show relations between the multimode oscillations and the number of order nonlinear characteristics.

ja: インダクタで結合された高次の非線形をもつ二つのファンデアポール発振器を提案し，発生する様々な多重振動を調査する．これらの振動は，数値計算，理論解析，回路実験によって安定に存在することが示され，さらに，非線形性の次数と発生する多重振動の関係を示す．

en: IEEE Transactions on Circuits and Systems I: Regular Papers


en: Shrimps: Occurrence, Scaling and Relevance


en: Complex Behavior in Coupled Chaotic Circuits Related with Intermittency and its Modeling Methods

en: We discover a complex behavior when switching three different synchronization states in two coupled chaotic circuits related to intermittency. Two methods to model this interesting complex behavior are proposed. First, we model this complex behavior by a first-order Markov chain with four states. Second, the modeling method by using 1-D Poincare map derived from one chaotic circuit is proposed. We confirm that both modeling methods agree very well with computer simulations. Finally, we discuss the characteristics of two modeling methods for calculation times, modeling accuracy and application of large-scale systems.

ja: 2つのインターミッテンシーを生成する結合カオス回路で，3つの異なる同期状態が切り替わる複雑現象を発見する．この興味深い複雑現象をモデリングする方法を2つ提案する．一つ目は，4状態からなる1次元マルコフチェインを用いたモデリングである．2つ目は，それぞれのカオス回路から得られる1次元ポアンカレマップを用いる手法である．2つのモデリング手法ともシミュレーションより得られる結果とよく一致していることを示す．さらに，2つの提案モデリング手法の計算時間や，モデリングの正確性および大規模化への応用について検討する．


en: Synchronization in Several Types of Coupled Polygonal Oscillatory Networks

en: In this study, synchronization phenomena observed in several types of coupled polygonal oscillatory networks by sharing branches are investigated by both computer simulations and circuit experiments. We focus on the power consumption of coupling resistors of the whole system. By using theoretical analysis, we confirm that the phase differences of the coupled oscillators are solved by finding the minimum value of the power consumption function.

ja: 本研究では，いくつかの結合多角形発振器ネットワークで観測される同期現象について調査を行う．我々は，システム全体での結合部分での消費電力に着目する．理論解析によって，位相差は回路システム全体の消費電力を最小になるように決定されることを確認する．

ja: IEEE Transactions on Circuits and Systems I: Regular Papers


en: Real-World Existence and Origins of the Spiral Organization of Shrimp-Shaped Domains

en: Physical Review Letters

ja: Physical Review Letters


en: Markov Chain Modeling and Analysis of Complicated Phenomena in Coupled Chaotic Oscillators

en: In this paper, we propose a Markov chain modeling of complicated phenomena observed from coupled chaotic oscillators. Once we obtain the transition probability matrix from computer simulation results, various statistical quantities can be easily calculated from the model. It is shown that various statistical quantities are easily calculated by using the Markov chain model. Various features derived from the Markov chain models of chaotic wandering of synchronization states and switching of clustering states are compared with those obtained from computer simulations of original circuit equations.

ja: 本論文では，結合カオス発振回路で観測される複雑現象のマルコフチェインによるモデリング手法を提案する．一度，計算機シミュレーション結果より遷移確率行列を計算すれば，モデルより様々な統計量を簡単に計算することができる．マルコフチェインモデルを利用し，様々な統計量が計算できることを示している．同期状態のカオス的遍歴とクラスタリング状態のスイッチングのマルコフチェインモデルより得られた様々な特性が，実際の回路方程式の計算機シミュレーションの結果と比較される．

en: Journal of Circuits, Systems, and Computers


en: Complex Pattern in a Ring of van der Pol Oscillators Coupled by Time-Varying Resistors

en: In this paper, phase synchronization in a ring of van der Pol oscillators coupled by time-varying resistors is studied. The coexistence of in-phase and anti/N-phase states and various interesting phase synchronization patterns are observed when the parameters are changed. Further, the influence of duty cycle of time-varying resistors for the observed phase synchronization patterns is investigated.

ja: 本論文では，時変抵抗で結合されたリング型 vad der Pol 発振器の位相同期について調査を行う．同相と逆相/N相状態の共存などさまざまな興味深い位相同期パターンがパラメータを変えることで観測する．さらに，時変抵抗のデューティー比を変化させたときの位相同期パターンの調査を行う．

ja: Journal of Circuits, Systems, and Computers


en: Durability of Affordable Neural Networks against Damaging Neurons

en: In this paper, we show that affordable neural networks (AfNNs) are robust against damages occurring after the learning process has terminated. The results support the view that AfNNs embody the important feature of durability. In our contribution, we investigate the durability of the AfNN when some of the neurons in the hidden layer are damaged after the learning process.

ja: 本論文で，我々はゆとりニューラルネットワークが学習後のダメージに対してロバスト性を持つこと示す．結果はゆとりニューラルネットワークが耐久性に重要な特徴であることを表している．よって我々は，学習後にいくつかの中間層ニューロンがダメージを受けた場合のゆとりニューラルネットワークの耐久性について調査を行う．

ja: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences


en: Analog Electronic Cochlea with Mammalian Hearing Characterise

en: Sensors

ja: Sensors


en: Analog Electronic Cochlea with Mammalian Hearing Characteristics

en: Applied Physics Letters

ja: Applied Physics Letters


en: Performance of Affordable Neural Network for Back Propagation Learning

en: Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On the other hand, effectiveness of neural network has been confirmed in pattern recognition, system control, signal processing, and so on, since the back propagation learning was proposed. In this study, we propose a new network structure with affordable neurons in the hidden layer of the feedforward neural network. Computer simulated results show that the proposed network exhibits a good performance for the back propagation learning. Furthermore, we confirm the proposed network has a good generalization ability.

ja: セル・アセンブリは，脳情報処理の表現方法のひとつであり，複数のニューロン発火パターンにより，情報表現を行うものである．一方，ニューラルネットワークの有効性は，逆誤差伝搬法が提案されて以来，パターン認識，システム制御などの分野で有効性が確認されている．本研究では，階層型ニューラルネットワークの中間層にゆとりニューロンを導入した新しいネットワーク構造を提案する．コンピュータシミュレーションの結果，逆誤差伝搬学習において提案ネットワークの有効性を確認できた．さらに，提案ネットワークが汎用性に優れていることを確認した．

en: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences


en: Ultra-Wideband Chaotic Radar and Clutter Reduction Methods

en: Journal of Signal Processing


en: Search of Many Good Solutions of QAP by Connected Hopfield NNs with Intermittency Chaos Noise

en: The method of adding chaos noise to the Hopfield neural network (NN) in application to combinatorial optimization problems has been proposed, and many researchers have suggested that adding intermittency chaos noise near the three-periodic window of the logistic map will yield the best performance. However, the Hopfield NN with chaos noise sometimes remains in a group of several solutions. In this study, some Hopfield NNs with intermittency chaos noise are connected like hierarchical networks in order to find good solutions of quadratic assignment problems (QAPs). It is confirmed that connected Hopfield NNs with intermittency chaos noise provide numerous nearly optimal solutions.

ja: 組み合わせ最適化問題を解く Hopfield Neural Network にカオスノイズを注入する方法が提案されてる． なかでも，ロジスティック写像によって得られる3周期窓付近のインターミッテンシー·カオスが最もよい 性能であると報告されている．しかしながら，カオスノイズを注入した Hopfield Neural Network でも 同じ解を何度も探索してしまう場合がある．本論文では，カオスノイズを注入した Hopfield Neural Network を階層型にいくつか結合することで，最適解に付近の解を多くみつけるネットワーク構造を提案している． 階層型 Hopfield Neural Network が二次割り当て問題において最適解付近の解を多く探索することを 確認している．


en: Performance of Chaos and Burst Noises Injected to the Hopfield NN for Quadratic Assignment Problems

en: In this paper, performance of chaos and burst noises injected to the Hopfield Neural Network for quadratic assignment problems is investigated. For the evaluation of the noises, two methods to appreciate finding a lot of nearly optimal solutions are proposed. By computer simulations, it is confirmed that the burst noise generated by the Gilbert model with a laminar part and a burst part achieved the good performance as the intermittency chaos noise near the three-periodic window.

ja: 本論文では，二次割り当て問題を解く Hopfield Neural Network にカオスノイズとバーストノイズを注入した際の性能についての調査を行っている．さらに最適解に近い解をいかに多く見つけるかを判断すること ができる評価方法を提案している．コンピュータシミュレーションの結果，インターミッテンシー·カオスのラミナー部とバースト部の存在をモデリングしたギルバートモデルによって得られるバーストノイズが3周期窓付近のインターミッテンシー·カオスと同様のよい性能であることが確認されている．


en: Markov Chain Modeling of Intermittency Chaos and its Application to Hopfield NN

en: 本研究では，マルコフ·チェインを用いたインターミッテンシー·カオスのモデリング方法を提案している． インターミッテンシー·カオスとマルコフ·チェインによって得られる時系列を組み合わせ最適化問題と 連想記憶を処理するHopfield Neural Network にノイズとして注入したときの局所解脱出についての性能評価を行っている．コンピュータシミュレーションの結果，提案したモデリング方法がインターミッテンシー·カオスと同様のよい性能を示すことを明らかにしている．


en: Shaerpening of Blurred Images with Multiple Processes by Using Cellular Neural Networks

ja: Journal of Signal Processing


en: Synchronization in Two Rings of Coupled Three van der Pol Oscillators


en: Investigation of Optimal Ratio of Males to Females in Firefly Algorithm


en: Synchronization State of Chaotic Circuit Containing Time Delay in One Direction


en: Polygonal Structure Models of Ring Inhibitory Neural Network

en: The ring inhibitory neural network is a typical neural system used to generate oscillation with a simple structure. Neurons in the ring inhibitory neural network are connected in one direction. In this study, we propose polygonal structure models of the ring inhibitory neural network that are composed of multiple ring inhibitory neural networks. We confirm that the polygonal structure models based on triquetrous and pentagonal models composed of three and five neurons respectively can oscillate. In our simulations, the polygonal structure models show various synchronization and oscillation phenomena based on their network topology.


en: Dependence of Clustering Patterns on Density of Chaotic Circuits in Networks


en: Synchronization Phenomena of Two Simple RC Chaotic Circuits Coupled by a Capacitor


en: Ant Colony Optimization Including Dull Ants Caused by Genetic Algorithm

en: We propose an ant colony optimization (ACO) including dull ants caused by genetic algorithm (GDACO). The GDACO algorithm combines ACO including dull ants with the genetic algorithm (GA). GDACO searches solutions using the pheromone of ACO and the genetic information of GA. In addition, GDACO consists of two kinds of ants: intelligent and dull. The dull ant is caused by mutation and cannot trail the pheromone. We apply GDACO to quadratic assignment problems (QAPs) and confirm that GDACO obtains more effective results than ACO and GA.


en: Multi-Layer Perceptron with Glial Network for Solving Two-Spiral Problem

en: In this study, we propose a multi-layer perceptron with a glial network which is inspired from the features of glias in the brain. All glias in the proposed network generate independent oscillations, and the oscillations propagate through the glial network with attenuation. We apply the proposed network to the two-spiral problem. Computer simulations show that the proposed network gains a better performance than the conventional multi-layer perceptron.

ja: 本研究では，脳に存在するグリア細胞の特徴を模したグリアネットワークを結合した多層パーセプトロンを提案した．全てのグリアが独立した振動生成しており，この振動がグリアネットワークを通して減衰しながらグリアとニューロンに伝搬する．本研究では，この提案モデルを二重らせん問題に適応し，提案モデルが従来モデルより優れた学習性能を有することを明らかにした．

en: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences


en: Synchronization Phenomena in van der Pol Oscillators Coupled by a Time-Varying Resistor

en: In this study, synchronization phenomena observed in van der Pol oscillators coupled by a time-varying resistor are investigated. We realize the time-varying resistor by switching a positive and a negative resistor periodically. By carrying out circuit experiments and computer calculations, interesting synchronization phenomena can be confirmed to be generated in this system. Namely, the synchronization states change according to the switching frequency of the time-varying resistor.

ja: 本研究では，時変抵抗で結合された van der Pol 発振器の同期現象について調査を行う．我々は，時変抵抗を正抵抗と負性抵抗が周期的に切り替わる抵抗によって実現した．回路実験およびコンピュータシミュレーションの結果，興味深い同期現象が本システムから生成されることを確認する．すなわち，時変抵抗の切り替わり周波数によって同期状態が変化することを確認する．

en: International Journal of Bifurcation and Chaos